-
Sinha, A.; Kedas, S.; Kumar, R.; Malo, P.: SEntFiN 1.0 : Entity-aware sentiment analysis for financial news (2022)
0.29
0.28581995 = sum of:
0.28581995 = product of:
1.1909164 = sum of:
0.023018952 = weight(abstract_txt:over in 1653) [ClassicSimilarity], result of:
0.023018952 = score(doc=1653,freq=4.0), product of:
0.043404296 = queryWeight, product of:
1.1854156 = boost
4.242705 = idf(docFreq=1734, maxDocs=44421)
0.008630168 = queryNorm
0.5303381 = fieldWeight in 1653, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
4.242705 = idf(docFreq=1734, maxDocs=44421)
0.0625 = fieldNorm(doc=1653)
0.0041992436 = weight(abstract_txt:this in 1653) [ClassicSimilarity], result of:
0.0041992436 = score(doc=1653,freq=1.0), product of:
0.02792242 = queryWeight, product of:
1.3446084 = boost
2.4062347 = idf(docFreq=10885, maxDocs=44421)
0.008630168 = queryNorm
0.15038967 = fieldWeight in 1653, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
2.4062347 = idf(docFreq=10885, maxDocs=44421)
0.0625 = fieldNorm(doc=1653)
0.1355884 = weight(abstract_txt:financial in 1653) [ClassicSimilarity], result of:
0.1355884 = score(doc=1653,freq=2.0), product of:
0.22472118 = queryWeight, product of:
3.8145323 = boost
6.82627 = idf(docFreq=130, maxDocs=44421)
0.008630168 = queryNorm
0.60336274 = fieldWeight in 1653, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
6.82627 = idf(docFreq=130, maxDocs=44421)
0.0625 = fieldNorm(doc=1653)
0.19128521 = weight(abstract_txt:news in 1653) [ClassicSimilarity], result of:
0.19128521 = score(doc=1653,freq=4.0), product of:
0.25682482 = queryWeight, product of:
4.994401 = boost
5.9584646 = idf(docFreq=311, maxDocs=44421)
0.008630168 = queryNorm
0.7448081 = fieldWeight in 1653, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
5.9584646 = idf(docFreq=311, maxDocs=44421)
0.0625 = fieldNorm(doc=1653)
0.118266694 = weight(abstract_txt:media in 1653) [ClassicSimilarity], result of:
0.118266694 = score(doc=1653,freq=1.0), product of:
0.37278154 = queryWeight, product of:
8.509561 = boost
5.076075 = idf(docFreq=753, maxDocs=44421)
0.008630168 = queryNorm
0.3172547 = fieldWeight in 1653, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
5.076075 = idf(docFreq=753, maxDocs=44421)
0.0625 = fieldNorm(doc=1653)
0.7185579 = weight(abstract_txt:sentiment in 1653) [ClassicSimilarity], result of:
0.7185579 = score(doc=1653,freq=5.0), product of:
0.6830778 = queryWeight, product of:
10.515366 = boost
7.5270805 = idf(docFreq=64, maxDocs=44421)
0.008630168 = queryNorm
1.0519415 = fieldWeight in 1653, product of:
2.236068 = tf(freq=5.0), with freq of:
5.0 = termFreq=5.0
7.5270805 = idf(docFreq=64, maxDocs=44421)
0.0625 = fieldNorm(doc=1653)
0.24 = coord(6/25)
-
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)
0.27
0.26500136 = sum of:
0.26500136 = product of:
0.9464334 = sum of:
0.05146209 = weight(abstract_txt:journalists in 1842) [ClassicSimilarity], result of:
0.05146209 = score(doc=1842,freq=1.0), product of:
0.080575675 = queryWeight, product of:
1.1420662 = boost
8.175107 = idf(docFreq=33, maxDocs=44421)
0.008630168 = queryNorm
0.6386802 = fieldWeight in 1842, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
8.175107 = idf(docFreq=33, maxDocs=44421)
0.078125 = fieldNorm(doc=1842)
0.013451629 = weight(abstract_txt:time in 1842) [ClassicSimilarity], result of:
0.013451629 = score(doc=1842,freq=1.0), product of:
0.04150231 = queryWeight, product of:
1.1591522 = boost
4.1487055 = idf(docFreq=1905, maxDocs=44421)
0.008630168 = queryNorm
0.3241176 = fieldWeight in 1842, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
4.1487055 = idf(docFreq=1905, maxDocs=44421)
0.078125 = fieldNorm(doc=1842)
0.0052490546 = weight(abstract_txt:this in 1842) [ClassicSimilarity], result of:
0.0052490546 = score(doc=1842,freq=1.0), product of:
0.02792242 = queryWeight, product of:
1.3446084 = boost
2.4062347 = idf(docFreq=10885, maxDocs=44421)
0.008630168 = queryNorm
0.18798709 = fieldWeight in 1842, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
2.4062347 = idf(docFreq=10885, maxDocs=44421)
0.078125 = fieldNorm(doc=1842)
0.04945581 = weight(abstract_txt:social in 1842) [ClassicSimilarity], result of:
0.04945581 = score(doc=1842,freq=2.0), product of:
0.10649696 = queryWeight, product of:
2.9359112 = boost
4.2031517 = idf(docFreq=1804, maxDocs=44421)
0.008630168 = queryNorm
0.46438706 = fieldWeight in 1842, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.2031517 = idf(docFreq=1804, maxDocs=44421)
0.078125 = fieldNorm(doc=1842)
0.16907382 = weight(abstract_txt:news in 1842) [ClassicSimilarity], result of:
0.16907382 = score(doc=1842,freq=2.0), product of:
0.25682482 = queryWeight, product of:
4.994401 = boost
5.9584646 = idf(docFreq=311, maxDocs=44421)
0.008630168 = queryNorm
0.6583235 = fieldWeight in 1842, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
5.9584646 = idf(docFreq=311, maxDocs=44421)
0.078125 = fieldNorm(doc=1842)
0.2560549 = weight(abstract_txt:media in 1842) [ClassicSimilarity], result of:
0.2560549 = score(doc=1842,freq=3.0), product of:
0.37278154 = queryWeight, product of:
8.509561 = boost
5.076075 = idf(docFreq=753, maxDocs=44421)
0.008630168 = queryNorm
0.68687654 = fieldWeight in 1842, product of:
1.7320508 = tf(freq=3.0), with freq of:
3.0 = termFreq=3.0
5.076075 = idf(docFreq=753, maxDocs=44421)
0.078125 = fieldNorm(doc=1842)
0.40168607 = weight(abstract_txt:sentiment in 1842) [ClassicSimilarity], result of:
0.40168607 = score(doc=1842,freq=1.0), product of:
0.6830778 = queryWeight, product of:
10.515366 = boost
7.5270805 = idf(docFreq=64, maxDocs=44421)
0.008630168 = queryNorm
0.58805317 = fieldWeight in 1842, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
7.5270805 = idf(docFreq=64, maxDocs=44421)
0.078125 = fieldNorm(doc=1842)
0.28 = coord(7/25)
-
Paltoglou, G.: Sentiment-based event detection in Twitter (2016)
0.26
0.25654984 = sum of:
0.25654984 = product of:
0.9162494 = sum of:
0.010761304 = weight(abstract_txt:time in 4010) [ClassicSimilarity], result of:
0.010761304 = score(doc=4010,freq=1.0), product of:
0.04150231 = queryWeight, product of:
1.1591522 = boost
4.1487055 = idf(docFreq=1905, maxDocs=44421)
0.008630168 = queryNorm
0.2592941 = fieldWeight in 4010, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
4.1487055 = idf(docFreq=1905, maxDocs=44421)
0.0625 = fieldNorm(doc=4010)
0.011509476 = weight(abstract_txt:over in 4010) [ClassicSimilarity], result of:
0.011509476 = score(doc=4010,freq=1.0), product of:
0.043404296 = queryWeight, product of:
1.1854156 = boost
4.242705 = idf(docFreq=1734, maxDocs=44421)
0.008630168 = queryNorm
0.26516905 = fieldWeight in 4010, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
4.242705 = idf(docFreq=1734, maxDocs=44421)
0.0625 = fieldNorm(doc=4010)
0.008398487 = weight(abstract_txt:this in 4010) [ClassicSimilarity], result of:
0.008398487 = score(doc=4010,freq=4.0), product of:
0.02792242 = queryWeight, product of:
1.3446084 = boost
2.4062347 = idf(docFreq=10885, maxDocs=44421)
0.008630168 = queryNorm
0.30077934 = fieldWeight in 4010, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
2.4062347 = idf(docFreq=10885, maxDocs=44421)
0.0625 = fieldNorm(doc=4010)
0.036063462 = weight(abstract_txt:million in 4010) [ClassicSimilarity], result of:
0.036063462 = score(doc=4010,freq=1.0), product of:
0.092940986 = queryWeight, product of:
1.7346343 = boost
6.208406 = idf(docFreq=242, maxDocs=44421)
0.008630168 = queryNorm
0.38802537 = fieldWeight in 4010, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
6.208406 = idf(docFreq=242, maxDocs=44421)
0.0625 = fieldNorm(doc=4010)
0.039564647 = weight(abstract_txt:social in 4010) [ClassicSimilarity], result of:
0.039564647 = score(doc=4010,freq=2.0), product of:
0.10649696 = queryWeight, product of:
2.9359112 = boost
4.2031517 = idf(docFreq=1804, maxDocs=44421)
0.008630168 = queryNorm
0.37150964 = fieldWeight in 4010, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.2031517 = idf(docFreq=1804, maxDocs=44421)
0.0625 = fieldNorm(doc=4010)
0.16725436 = weight(abstract_txt:media in 4010) [ClassicSimilarity], result of:
0.16725436 = score(doc=4010,freq=2.0), product of:
0.37278154 = queryWeight, product of:
8.509561 = boost
5.076075 = idf(docFreq=753, maxDocs=44421)
0.008630168 = queryNorm
0.4486659 = fieldWeight in 4010, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
5.076075 = idf(docFreq=753, maxDocs=44421)
0.0625 = fieldNorm(doc=4010)
0.6426977 = weight(abstract_txt:sentiment in 4010) [ClassicSimilarity], result of:
0.6426977 = score(doc=4010,freq=4.0), product of:
0.6830778 = queryWeight, product of:
10.515366 = boost
7.5270805 = idf(docFreq=64, maxDocs=44421)
0.008630168 = queryNorm
0.94088507 = fieldWeight in 4010, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
7.5270805 = idf(docFreq=64, maxDocs=44421)
0.0625 = fieldNorm(doc=4010)
0.28 = coord(7/25)
-
Li, D.; Wang, Y.; Madden, A.; Ding, Y.; Sun, G.G.; Zhang, N.; Zhou, E.: Analyzing stock market trends using social media user moods and social influence (2019)
0.22
0.22187357 = sum of:
0.22187357 = product of:
0.6163154 = sum of:
0.036469106 = weight(abstract_txt:markets in 362) [ClassicSimilarity], result of:
0.036469106 = score(doc=362,freq=1.0), product of:
0.07431944 = queryWeight, product of:
1.096833 = boost
7.85132 = idf(docFreq=46, maxDocs=44421)
0.008630168 = queryNorm
0.4907075 = fieldWeight in 362, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
7.85132 = idf(docFreq=46, maxDocs=44421)
0.0625 = fieldNorm(doc=362)
0.057605553 = weight(abstract_txt:finance in 362) [ClassicSimilarity], result of:
0.057605553 = score(doc=362,freq=2.0), product of:
0.080005266 = queryWeight, product of:
1.1380166 = boost
8.146119 = idf(docFreq=34, maxDocs=44421)
0.008630168 = queryNorm
0.720022 = fieldWeight in 362, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.146119 = idf(docFreq=34, maxDocs=44421)
0.0625 = fieldNorm(doc=362)
0.011509476 = weight(abstract_txt:over in 362) [ClassicSimilarity], result of:
0.011509476 = score(doc=362,freq=1.0), product of:
0.043404296 = queryWeight, product of:
1.1854156 = boost
4.242705 = idf(docFreq=1734, maxDocs=44421)
0.008630168 = queryNorm
0.26516905 = fieldWeight in 362, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
4.242705 = idf(docFreq=1734, maxDocs=44421)
0.0625 = fieldNorm(doc=362)
0.058993455 = weight(abstract_txt:investors in 362) [ClassicSimilarity], result of:
0.058993455 = score(doc=362,freq=1.0), product of:
0.102412954 = queryWeight, product of:
1.2875578 = boost
9.216561 = idf(docFreq=11, maxDocs=44421)
0.008630168 = queryNorm
0.5760351 = fieldWeight in 362, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
9.216561 = idf(docFreq=11, maxDocs=44421)
0.0625 = fieldNorm(doc=362)
0.064691864 = weight(abstract_txt:weibo in 362) [ClassicSimilarity], result of:
0.064691864 = score(doc=362,freq=1.0), product of:
0.10890608 = queryWeight, product of:
1.3277471 = boost
9.504243 = idf(docFreq=8, maxDocs=44421)
0.008630168 = queryNorm
0.5940152 = fieldWeight in 362, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
9.504243 = idf(docFreq=8, maxDocs=44421)
0.0625 = fieldNorm(doc=362)
0.0059386273 = weight(abstract_txt:this in 362) [ClassicSimilarity], result of:
0.0059386273 = score(doc=362,freq=2.0), product of:
0.02792242 = queryWeight, product of:
1.3446084 = boost
2.4062347 = idf(docFreq=10885, maxDocs=44421)
0.008630168 = queryNorm
0.21268311 = fieldWeight in 362, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.4062347 = idf(docFreq=10885, maxDocs=44421)
0.0625 = fieldNorm(doc=362)
0.048456598 = weight(abstract_txt:social in 362) [ClassicSimilarity], result of:
0.048456598 = score(doc=362,freq=3.0), product of:
0.10649696 = queryWeight, product of:
2.9359112 = boost
4.2031517 = idf(docFreq=1804, maxDocs=44421)
0.008630168 = queryNorm
0.4550045 = fieldWeight in 362, product of:
1.7320508 = tf(freq=3.0), with freq of:
3.0 = termFreq=3.0
4.2031517 = idf(docFreq=1804, maxDocs=44421)
0.0625 = fieldNorm(doc=362)
0.21438406 = weight(abstract_txt:financial in 362) [ClassicSimilarity], result of:
0.21438406 = score(doc=362,freq=5.0), product of:
0.22472118 = queryWeight, product of:
3.8145323 = boost
6.82627 = idf(docFreq=130, maxDocs=44421)
0.008630168 = queryNorm
0.95400023 = fieldWeight in 362, product of:
2.236068 = tf(freq=5.0), with freq of:
5.0 = termFreq=5.0
6.82627 = idf(docFreq=130, maxDocs=44421)
0.0625 = fieldNorm(doc=362)
0.118266694 = weight(abstract_txt:media in 362) [ClassicSimilarity], result of:
0.118266694 = score(doc=362,freq=1.0), product of:
0.37278154 = queryWeight, product of:
8.509561 = boost
5.076075 = idf(docFreq=753, maxDocs=44421)
0.008630168 = queryNorm
0.3172547 = fieldWeight in 362, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
5.076075 = idf(docFreq=753, maxDocs=44421)
0.0625 = fieldNorm(doc=362)
0.36 = coord(9/25)
-
Chung, W.; Zeng, D.: Social-media-based public policy informatics : sentiment and network analyses of U.S. immigration and border security (2016)
0.22
0.21941502 = sum of:
0.21941502 = product of:
1.0970751 = sum of:
0.011509476 = weight(abstract_txt:over in 4969) [ClassicSimilarity], result of:
0.011509476 = score(doc=4969,freq=1.0), product of:
0.043404296 = queryWeight, product of:
1.1854156 = boost
4.242705 = idf(docFreq=1734, maxDocs=44421)
0.008630168 = queryNorm
0.26516905 = fieldWeight in 4969, product of:
1.0 = tf(freq=1.0), with freq of:
1.0 = termFreq=1.0
4.242705 = idf(docFreq=1734, maxDocs=44421)
0.0625 = fieldNorm(doc=4969)
0.0059386273 = weight(abstract_txt:this in 4969) [ClassicSimilarity], result of:
0.0059386273 = score(doc=4969,freq=2.0), product of:
0.02792242 = queryWeight, product of:
1.3446084 = boost
2.4062347 = idf(docFreq=10885, maxDocs=44421)
0.008630168 = queryNorm
0.21268311 = fieldWeight in 4969, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.4062347 = idf(docFreq=10885, maxDocs=44421)
0.0625 = fieldNorm(doc=4969)
0.05595286 = weight(abstract_txt:social in 4969) [ClassicSimilarity], result of:
0.05595286 = score(doc=4969,freq=4.0), product of:
0.10649696 = queryWeight, product of:
2.9359112 = boost
4.2031517 = idf(docFreq=1804, maxDocs=44421)
0.008630168 = queryNorm
0.52539396 = fieldWeight in 4969, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
4.2031517 = idf(docFreq=1804, maxDocs=44421)
0.0625 = fieldNorm(doc=4969)
0.23653339 = weight(abstract_txt:media in 4969) [ClassicSimilarity], result of:
0.23653339 = score(doc=4969,freq=4.0), product of:
0.37278154 = queryWeight, product of:
8.509561 = boost
5.076075 = idf(docFreq=753, maxDocs=44421)
0.008630168 = queryNorm
0.6345094 = fieldWeight in 4969, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
5.076075 = idf(docFreq=753, maxDocs=44421)
0.0625 = fieldNorm(doc=4969)
0.7871408 = weight(abstract_txt:sentiment in 4969) [ClassicSimilarity], result of:
0.7871408 = score(doc=4969,freq=6.0), product of:
0.6830778 = queryWeight, product of:
10.515366 = boost
7.5270805 = idf(docFreq=64, maxDocs=44421)
0.008630168 = queryNorm
1.1523442 = fieldWeight in 4969, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
7.5270805 = idf(docFreq=64, maxDocs=44421)
0.0625 = fieldNorm(doc=4969)
0.2 = coord(5/25)