Document (#36346)

Author
Thelwall, M.
Buckley, K.
Paltoglou, G.
Title
Sentiment in Twitter events
Source
Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.406-418
Year
2011
Abstract
The microblogging site Twitter generates a constant stream of communication, some of which concerns events of general interest. An analysis of Twitter may, therefore, give insights into why particular events resonate with the population. This article reports a study of a month of English Twitter posts, assessing whether popular events are typically associated with increases in sentiment strength, as seems intuitively likely. Using the top 30 events, determined by a measure of relative increase in (general) term usage, the results give strong evidence that popular events are normally associated with increases in negative sentiment strength and some evidence that peaks of interest in events have stronger positive sentiment than the time before the peak. It seems that many positive events, such as the Oscars, are capable of generating increased negative sentiment in reaction to them. Nevertheless, the surprisingly small average change in sentiment associated with popular events (typically 1% and only 6% for Tiger Woods' confessions) is consistent with events affording posters opportunities to satisfy pre-existing personal goals more often than eliciting instinctive reactions.
Theme
Internet
Object
Twitter

Similar documents (author)

  1. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment strength detection for the social web (2012) 5.52
    5.517288 = sum of:
      5.517288 = sum of:
        0.94425714 = weight(author_txt:thelwall in 4972) [ClassicSimilarity], result of:
          0.94425714 = score(doc=4972,freq=1.0), product of:
            0.3635497 = queryWeight, product of:
              6.926203 = idf(docFreq=117, maxDocs=44218)
              0.052489035 = queryNorm
            2.597326 = fieldWeight in 4972, product of:
              1.0 = tf(freq=1.0), with freq of:
                1.0 = termFreq=1.0
              6.926203 = idf(docFreq=117, maxDocs=44218)
              0.375 = fieldNorm(doc=4972)
        1.811278 = weight(author_txt:buckley in 4972) [ClassicSimilarity], result of:
          1.811278 = score(doc=4972,freq=1.0), product of:
            0.56125516 = queryWeight, product of:
              1.2425054 = boost
              8.6058445 = idf(docFreq=21, maxDocs=44218)
              0.052489035 = queryNorm
            3.2271917 = fieldWeight in 4972, product of:
              1.0 = tf(freq=1.0), with freq of:
                1.0 = termFreq=1.0
              8.6058445 = idf(docFreq=21, maxDocs=44218)
              0.375 = fieldNorm(doc=4972)
        2.761753 = weight(author_txt:paltoglou in 4972) [ClassicSimilarity], result of:
          2.761753 = score(doc=4972,freq=1.0), product of:
            0.7435215 = queryWeight, product of:
              1.430095 = boost
              9.905128 = idf(docFreq=5, maxDocs=44218)
              0.052489035 = queryNorm
            3.7144227 = fieldWeight in 4972, product of:
              1.0 = tf(freq=1.0), with freq of:
                1.0 = termFreq=1.0
              9.905128 = idf(docFreq=5, maxDocs=44218)
              0.375 = fieldNorm(doc=4972)
    
  2. Thelwall, M.; Buckley, K.; Paltoglou, G.; Cai, D.; Kappas, A.: Sentiment strength detection in short informal text (2010) 4.60
    4.59774 = sum of:
      4.59774 = sum of:
        0.7868809 = weight(author_txt:thelwall in 4200) [ClassicSimilarity], result of:
          0.7868809 = score(doc=4200,freq=1.0), product of:
            0.3635497 = queryWeight, product of:
              6.926203 = idf(docFreq=117, maxDocs=44218)
              0.052489035 = queryNorm
            2.1644382 = fieldWeight in 4200, product of:
              1.0 = tf(freq=1.0), with freq of:
                1.0 = termFreq=1.0
              6.926203 = idf(docFreq=117, maxDocs=44218)
              0.3125 = fieldNorm(doc=4200)
        1.5093982 = weight(author_txt:buckley in 4200) [ClassicSimilarity], result of:
          1.5093982 = score(doc=4200,freq=1.0), product of:
            0.56125516 = queryWeight, product of:
              1.2425054 = boost
              8.6058445 = idf(docFreq=21, maxDocs=44218)
              0.052489035 = queryNorm
            2.6893263 = fieldWeight in 4200, product of:
              1.0 = tf(freq=1.0), with freq of:
                1.0 = termFreq=1.0
              8.6058445 = idf(docFreq=21, maxDocs=44218)
              0.3125 = fieldNorm(doc=4200)
        2.3014612 = weight(author_txt:paltoglou in 4200) [ClassicSimilarity], result of:
          2.3014612 = score(doc=4200,freq=1.0), product of:
            0.7435215 = queryWeight, product of:
              1.430095 = boost
              9.905128 = idf(docFreq=5, maxDocs=44218)
              0.052489035 = queryNorm
            3.0953524 = fieldWeight in 4200, product of:
              1.0 = tf(freq=1.0), with freq of:
                1.0 = termFreq=1.0
              9.905128 = idf(docFreq=5, maxDocs=44218)
              0.3125 = fieldNorm(doc=4200)
    
  3. Thelwall, M.; Buckley, K.: Topic-based sentiment analysis for the social web : the role of mood and issue-related words (2013) 2.45
    2.4493647 = sum of:
      2.4493647 = product of:
        3.674047 = sum of:
          1.2590095 = weight(author_txt:thelwall in 1004) [ClassicSimilarity], result of:
            1.2590095 = score(doc=1004,freq=1.0), product of:
              0.3635497 = queryWeight, product of:
                6.926203 = idf(docFreq=117, maxDocs=44218)
                0.052489035 = queryNorm
              3.4631014 = fieldWeight in 1004, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                6.926203 = idf(docFreq=117, maxDocs=44218)
                0.5 = fieldNorm(doc=1004)
          2.4150374 = weight(author_txt:buckley in 1004) [ClassicSimilarity], result of:
            2.4150374 = score(doc=1004,freq=1.0), product of:
              0.56125516 = queryWeight, product of:
                1.2425054 = boost
                8.6058445 = idf(docFreq=21, maxDocs=44218)
                0.052489035 = queryNorm
              4.3029222 = fieldWeight in 1004, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                8.6058445 = idf(docFreq=21, maxDocs=44218)
                0.5 = fieldNorm(doc=1004)
        0.6666667 = coord(2/3)
    
  4. Paltoglou, G.: Sentiment-based event detection in Twitter (2016) 1.53
    1.5343075 = sum of:
      1.5343075 = product of:
        4.6029224 = sum of:
          4.6029224 = weight(author_txt:paltoglou in 3010) [ClassicSimilarity], result of:
            4.6029224 = score(doc=3010,freq=1.0), product of:
              0.7435215 = queryWeight, product of:
                1.430095 = boost
                9.905128 = idf(docFreq=5, maxDocs=44218)
                0.052489035 = queryNorm
              6.190705 = fieldWeight in 3010, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                9.905128 = idf(docFreq=5, maxDocs=44218)
                0.625 = fieldNorm(doc=3010)
        0.33333334 = coord(1/3)
    
  5. Buckley, C.: ¬The SMART Project at TREC (2005) 1.01
    1.0062655 = sum of:
      1.0062655 = product of:
        3.0187964 = sum of:
          3.0187964 = weight(author_txt:buckley in 5088) [ClassicSimilarity], result of:
            3.0187964 = score(doc=5088,freq=1.0), product of:
              0.56125516 = queryWeight, product of:
                1.2425054 = boost
                8.6058445 = idf(docFreq=21, maxDocs=44218)
                0.052489035 = queryNorm
              5.3786526 = fieldWeight in 5088, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                8.6058445 = idf(docFreq=21, maxDocs=44218)
                0.625 = fieldNorm(doc=5088)
        0.33333334 = coord(1/3)
    

Similar documents (content)

  1. Paltoglou, G.: Sentiment-based event detection in Twitter (2016) 0.33
    0.33449614 = sum of:
      0.33449614 = product of:
        1.1946291 = sum of:
          0.007407448 = weight(abstract_txt:with in 3010) [ClassicSimilarity], result of:
            0.007407448 = score(doc=3010,freq=1.0), product of:
              0.04741272 = queryWeight, product of:
                1.560771 = boost
                2.4997334 = idf(docFreq=9868, maxDocs=44218)
                0.012152398 = queryNorm
              0.15623334 = fieldWeight in 3010, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                2.4997334 = idf(docFreq=9868, maxDocs=44218)
                0.0625 = fieldNorm(doc=3010)
          0.052731387 = weight(abstract_txt:increases in 3010) [ClassicSimilarity], result of:
            0.052731387 = score(doc=3010,freq=1.0), product of:
              0.12927522 = queryWeight, product of:
                1.6299692 = boost
                6.5264034 = idf(docFreq=175, maxDocs=44218)
                0.012152398 = queryNorm
              0.4079002 = fieldWeight in 3010, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                6.5264034 = idf(docFreq=175, maxDocs=44218)
                0.0625 = fieldNorm(doc=3010)
          0.07476894 = weight(abstract_txt:typically in 3010) [ClassicSimilarity], result of:
            0.07476894 = score(doc=3010,freq=2.0), product of:
              0.12950104 = queryWeight, product of:
                1.6313922 = boost
                6.532101 = idf(docFreq=174, maxDocs=44218)
                0.012152398 = queryNorm
              0.57736164 = fieldWeight in 3010, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                6.532101 = idf(docFreq=174, maxDocs=44218)
                0.0625 = fieldNorm(doc=3010)
          0.037408657 = weight(abstract_txt:associated in 3010) [ClassicSimilarity], result of:
            0.037408657 = score(doc=3010,freq=1.0), product of:
              0.117710255 = queryWeight, product of:
                1.9049103 = boost
                5.084846 = idf(docFreq=743, maxDocs=44218)
                0.012152398 = queryNorm
              0.31780288 = fieldWeight in 3010, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                5.084846 = idf(docFreq=743, maxDocs=44218)
                0.0625 = fieldNorm(doc=3010)
          0.12559567 = weight(abstract_txt:twitter in 3010) [ClassicSimilarity], result of:
            0.12559567 = score(doc=3010,freq=1.0), product of:
              0.29048848 = queryWeight, product of:
                3.4554229 = boost
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.012152398 = queryNorm
              0.43236023 = fieldWeight in 3010, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.0625 = fieldNorm(doc=3010)
          0.49055418 = weight(abstract_txt:sentiment in 3010) [ClassicSimilarity], result of:
            0.49055418 = score(doc=3010,freq=4.0), product of:
              0.5195343 = queryWeight, product of:
                5.659649 = boost
                7.5537524 = idf(docFreq=62, maxDocs=44218)
                0.012152398 = queryNorm
              0.94421905 = fieldWeight in 3010, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                7.5537524 = idf(docFreq=62, maxDocs=44218)
                0.0625 = fieldNorm(doc=3010)
          0.40616274 = weight(abstract_txt:events in 3010) [ClassicSimilarity], result of:
            0.40616274 = score(doc=3010,freq=3.0), product of:
              0.5977948 = queryWeight, product of:
                7.837595 = boost
                6.2763524 = idf(docFreq=225, maxDocs=44218)
                0.012152398 = queryNorm
              0.6794351 = fieldWeight in 3010, product of:
                1.7320508 = tf(freq=3.0), with freq of:
                  3.0 = termFreq=3.0
                6.2763524 = idf(docFreq=225, maxDocs=44218)
                0.0625 = fieldNorm(doc=3010)
        0.28 = coord(7/25)
    
  2. Bae, Y.; Lee, H.: Sentiment analysis of twitter audiences : measuring the positive or negative influence of popular twitterers (2012) 0.29
    0.29428533 = sum of:
      0.29428533 = product of:
        1.2261889 = sum of:
          0.061435863 = weight(abstract_txt:microblogging in 520) [ClassicSimilarity], result of:
            0.061435863 = score(doc=520,freq=1.0), product of:
              0.11360753 = queryWeight, product of:
                1.080464 = boost
                8.652365 = idf(docFreq=20, maxDocs=44218)
                0.012152398 = queryNorm
              0.5407728 = fieldWeight in 520, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                8.652365 = idf(docFreq=20, maxDocs=44218)
                0.0625 = fieldNorm(doc=520)
          0.078313686 = weight(abstract_txt:positive in 520) [ClassicSimilarity], result of:
            0.078313686 = score(doc=520,freq=4.0), product of:
              0.10600856 = queryWeight, product of:
                1.47602 = boost
                5.90999 = idf(docFreq=325, maxDocs=44218)
                0.012152398 = queryNorm
              0.7387487 = fieldWeight in 520, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                5.90999 = idf(docFreq=325, maxDocs=44218)
                0.0625 = fieldNorm(doc=520)
          0.095217 = weight(abstract_txt:negative in 520) [ClassicSimilarity], result of:
            0.095217 = score(doc=520,freq=4.0), product of:
              0.12076066 = queryWeight, product of:
                1.575377 = boost
                6.3078156 = idf(docFreq=218, maxDocs=44218)
                0.012152398 = queryNorm
              0.78847694 = fieldWeight in 520, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                6.3078156 = idf(docFreq=218, maxDocs=44218)
                0.0625 = fieldNorm(doc=520)
          0.16466115 = weight(abstract_txt:popular in 520) [ClassicSimilarity], result of:
            0.16466115 = score(doc=520,freq=9.0), product of:
              0.15198924 = queryWeight, product of:
                2.1645808 = boost
                5.777993 = idf(docFreq=371, maxDocs=44218)
                0.012152398 = queryNorm
              1.0833738 = fieldWeight in 520, product of:
                3.0 = tf(freq=9.0), with freq of:
                  9.0 = termFreq=9.0
                5.777993 = idf(docFreq=371, maxDocs=44218)
                0.0625 = fieldNorm(doc=520)
          0.1776191 = weight(abstract_txt:twitter in 520) [ClassicSimilarity], result of:
            0.1776191 = score(doc=520,freq=2.0), product of:
              0.29048848 = queryWeight, product of:
                3.4554229 = boost
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.012152398 = queryNorm
              0.6114497 = fieldWeight in 520, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.0625 = fieldNorm(doc=520)
          0.6489422 = weight(abstract_txt:sentiment in 520) [ClassicSimilarity], result of:
            0.6489422 = score(doc=520,freq=7.0), product of:
              0.5195343 = queryWeight, product of:
                5.659649 = boost
                7.5537524 = idf(docFreq=62, maxDocs=44218)
                0.012152398 = queryNorm
              1.2490844 = fieldWeight in 520, product of:
                2.6457512 = tf(freq=7.0), with freq of:
                  7.0 = termFreq=7.0
                7.5537524 = idf(docFreq=62, maxDocs=44218)
                0.0625 = fieldNorm(doc=520)
        0.24 = coord(6/25)
    
  3. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment strength detection for the social web (2012) 0.26
    0.26212522 = sum of:
      0.26212522 = product of:
        1.0921885 = sum of:
          0.02528076 = weight(abstract_txt:interest in 4972) [ClassicSimilarity], result of:
            0.02528076 = score(doc=4972,freq=1.0), product of:
              0.079188585 = queryWeight, product of:
                1.2757132 = boost
                5.1079607 = idf(docFreq=726, maxDocs=44218)
                0.012152398 = queryNorm
              0.31924754 = fieldWeight in 4972, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                5.1079607 = idf(docFreq=726, maxDocs=44218)
                0.0625 = fieldNorm(doc=4972)
          0.039156843 = weight(abstract_txt:positive in 4972) [ClassicSimilarity], result of:
            0.039156843 = score(doc=4972,freq=1.0), product of:
              0.10600856 = queryWeight, product of:
                1.47602 = boost
                5.90999 = idf(docFreq=325, maxDocs=44218)
                0.012152398 = queryNorm
              0.36937436 = fieldWeight in 4972, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                5.90999 = idf(docFreq=325, maxDocs=44218)
                0.0625 = fieldNorm(doc=4972)
          0.007407448 = weight(abstract_txt:with in 4972) [ClassicSimilarity], result of:
            0.007407448 = score(doc=4972,freq=1.0), product of:
              0.04741272 = queryWeight, product of:
                1.560771 = boost
                2.4997334 = idf(docFreq=9868, maxDocs=44218)
                0.012152398 = queryNorm
              0.15623334 = fieldWeight in 4972, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                2.4997334 = idf(docFreq=9868, maxDocs=44218)
                0.0625 = fieldNorm(doc=4972)
          0.06709011 = weight(abstract_txt:strength in 4972) [ClassicSimilarity], result of:
            0.06709011 = score(doc=4972,freq=1.0), product of:
              0.15178941 = queryWeight, product of:
                1.7662106 = boost
                7.071914 = idf(docFreq=101, maxDocs=44218)
                0.012152398 = queryNorm
              0.44199464 = fieldWeight in 4972, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                7.071914 = idf(docFreq=101, maxDocs=44218)
                0.0625 = fieldNorm(doc=4972)
          0.1776191 = weight(abstract_txt:twitter in 4972) [ClassicSimilarity], result of:
            0.1776191 = score(doc=4972,freq=2.0), product of:
              0.29048848 = queryWeight, product of:
                3.4554229 = boost
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.012152398 = queryNorm
              0.6114497 = fieldWeight in 4972, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.0625 = fieldNorm(doc=4972)
          0.7756342 = weight(abstract_txt:sentiment in 4972) [ClassicSimilarity], result of:
            0.7756342 = score(doc=4972,freq=10.0), product of:
              0.5195343 = queryWeight, product of:
                5.659649 = boost
                7.5537524 = idf(docFreq=62, maxDocs=44218)
                0.012152398 = queryNorm
              1.4929414 = fieldWeight in 4972, product of:
                3.1622777 = tf(freq=10.0), with freq of:
                  10.0 = termFreq=10.0
                7.5537524 = idf(docFreq=62, maxDocs=44218)
                0.0625 = fieldNorm(doc=4972)
        0.24 = coord(6/25)
    
  4. Scharl, A.; Hubmann-Haidvogel, A.H.; Jones, A.; Fischl, D.; Kamolov, R.; Weichselbraun, A.; Rafelsberger, W.: Analyzing the public discourse on works of fiction : detection and visualization of emotion in online coverage about HBO's Game of Thrones (2016) 0.26
    0.25900722 = sum of:
      0.25900722 = product of:
        0.92502576 = sum of:
          0.048946057 = weight(abstract_txt:positive in 842) [ClassicSimilarity], result of:
            0.048946057 = score(doc=842,freq=1.0), product of:
              0.10600856 = queryWeight, product of:
                1.47602 = boost
                5.90999 = idf(docFreq=325, maxDocs=44218)
                0.012152398 = queryNorm
              0.46171796 = fieldWeight in 842, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                5.90999 = idf(docFreq=325, maxDocs=44218)
                0.078125 = fieldNorm(doc=842)
          0.013094641 = weight(abstract_txt:with in 842) [ClassicSimilarity], result of:
            0.013094641 = score(doc=842,freq=2.0), product of:
              0.04741272 = queryWeight, product of:
                1.560771 = boost
                2.4997334 = idf(docFreq=9868, maxDocs=44218)
                0.012152398 = queryNorm
              0.27618414 = fieldWeight in 842, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                2.4997334 = idf(docFreq=9868, maxDocs=44218)
                0.078125 = fieldNorm(doc=842)
          0.059510622 = weight(abstract_txt:negative in 842) [ClassicSimilarity], result of:
            0.059510622 = score(doc=842,freq=1.0), product of:
              0.12076066 = queryWeight, product of:
                1.575377 = boost
                6.3078156 = idf(docFreq=218, maxDocs=44218)
                0.012152398 = queryNorm
              0.4927981 = fieldWeight in 842, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                6.3078156 = idf(docFreq=218, maxDocs=44218)
                0.078125 = fieldNorm(doc=842)
          0.046760824 = weight(abstract_txt:associated in 842) [ClassicSimilarity], result of:
            0.046760824 = score(doc=842,freq=1.0), product of:
              0.117710255 = queryWeight, product of:
                1.9049103 = boost
                5.084846 = idf(docFreq=743, maxDocs=44218)
                0.012152398 = queryNorm
              0.3972536 = fieldWeight in 842, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                5.084846 = idf(docFreq=743, maxDocs=44218)
                0.078125 = fieldNorm(doc=842)
          0.15699458 = weight(abstract_txt:twitter in 842) [ClassicSimilarity], result of:
            0.15699458 = score(doc=842,freq=1.0), product of:
              0.29048848 = queryWeight, product of:
                3.4554229 = boost
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.012152398 = queryNorm
              0.5404503 = fieldWeight in 842, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                6.9177637 = idf(docFreq=118, maxDocs=44218)
                0.078125 = fieldNorm(doc=842)
          0.30659634 = weight(abstract_txt:sentiment in 842) [ClassicSimilarity], result of:
            0.30659634 = score(doc=842,freq=1.0), product of:
              0.5195343 = queryWeight, product of:
                5.659649 = boost
                7.5537524 = idf(docFreq=62, maxDocs=44218)
                0.012152398 = queryNorm
              0.5901369 = fieldWeight in 842, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                7.5537524 = idf(docFreq=62, maxDocs=44218)
                0.078125 = fieldNorm(doc=842)
          0.2931227 = weight(abstract_txt:events in 842) [ClassicSimilarity], result of:
            0.2931227 = score(doc=842,freq=1.0), product of:
              0.5977948 = queryWeight, product of:
                7.837595 = boost
                6.2763524 = idf(docFreq=225, maxDocs=44218)
                0.012152398 = queryNorm
              0.49034002 = fieldWeight in 842, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                6.2763524 = idf(docFreq=225, maxDocs=44218)
                0.078125 = fieldNorm(doc=842)
        0.28 = coord(7/25)
    
  5. Bi, Y.: Sentiment classification in social media data by combining triplet belief functions (2022) 0.23
    0.23311262 = sum of:
      0.23311262 = product of:
        1.1655631 = sum of:
          0.01931469 = weight(abstract_txt:general in 613) [ClassicSimilarity], result of:
            0.01931469 = score(doc=613,freq=1.0), product of:
              0.05703231 = queryWeight, product of:
                1.0826354 = boost
                4.3348765 = idf(docFreq=1574, maxDocs=44218)
                0.012152398 = queryNorm
              0.33866224 = fieldWeight in 613, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                4.3348765 = idf(docFreq=1574, maxDocs=44218)
                0.078125 = fieldNorm(doc=613)
          0.0368808 = weight(abstract_txt:evidence in 613) [ClassicSimilarity], result of:
            0.0368808 = score(doc=613,freq=1.0), product of:
              0.08778009 = queryWeight, product of:
                1.3431354 = boost
                5.377919 = idf(docFreq=554, maxDocs=44218)
                0.012152398 = queryNorm
              0.42014992 = fieldWeight in 613, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                5.377919 = idf(docFreq=554, maxDocs=44218)
                0.078125 = fieldNorm(doc=613)
          0.009259309 = weight(abstract_txt:with in 613) [ClassicSimilarity], result of:
            0.009259309 = score(doc=613,freq=1.0), product of:
              0.04741272 = queryWeight, product of:
                1.560771 = boost
                2.4997334 = idf(docFreq=9868, maxDocs=44218)
                0.012152398 = queryNorm
              0.19529167 = fieldWeight in 613, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                2.4997334 = idf(docFreq=9868, maxDocs=44218)
                0.078125 = fieldNorm(doc=613)
          0.68557024 = weight(abstract_txt:sentiment in 613) [ClassicSimilarity], result of:
            0.68557024 = score(doc=613,freq=5.0), product of:
              0.5195343 = queryWeight, product of:
                5.659649 = boost
                7.5537524 = idf(docFreq=62, maxDocs=44218)
                0.012152398 = queryNorm
              1.3195862 = fieldWeight in 613, product of:
                2.236068 = tf(freq=5.0), with freq of:
                  5.0 = termFreq=5.0
                7.5537524 = idf(docFreq=62, maxDocs=44218)
                0.078125 = fieldNorm(doc=613)
          0.4145381 = weight(abstract_txt:events in 613) [ClassicSimilarity], result of:
            0.4145381 = score(doc=613,freq=2.0), product of:
              0.5977948 = queryWeight, product of:
                7.837595 = boost
                6.2763524 = idf(docFreq=225, maxDocs=44218)
                0.012152398 = queryNorm
              0.6934455 = fieldWeight in 613, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                6.2763524 = idf(docFreq=225, maxDocs=44218)
                0.078125 = fieldNorm(doc=613)
        0.2 = coord(5/25)