Document (#32606)

Author

Ku, L.-W.
Chen, H.-H.

Title

Mining opinions from the Web : beyond relevance retrieval

Source

Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1838-1850

Year

2007

Abstract

Documents discussing public affairs, common themes, interesting products, and so on, are reported and distributed on the Web. Positive and negative opinions embedded in documents are useful references and feedbacks for governments to improve their services, for companies to market their products, and for customers to purchase their objects. Web opinion mining aims to extract, summarize, and track various aspects of subjective information on the Web. Mining subjective information enables traditional information retrieval (IR) systems to retrieve more data from human viewpoints and provide information with finer granularity. Opinion extraction identifies opinion holders, extracts the relevant opinion sentences, and decides their polarities. Opinion summarization recognizes the major events embedded in documents and summarizes the supportive and the nonsupportive evidence. Opinion tracking captures subjective information from various genres and monitors the developments of opinions from spatial and temporal dimensions. To demonstrate and evaluate the proposed opinion mining algorithms, news and bloggers' articles are adopted. Documents in the evaluation corpora are tagged in different granularities from words, sentences to documents. In the experiments, positive and negative sentiment words and their weights are mined on the basis of Chinese word structures. The f-measure is 73.18% and 63.75% for verbs and nouns, respectively. Utilizing the sentiment words mined together with topical words, we achieve f-measure 62.16% at the sentence level and 74.37% at the document level.

Footnote

Beitrag eines Themenschwerpunktes "Mining Web resources for enhancing information retrieval"

Theme

Data Mining

Object

WWW

Similar documents (author)

1. Chen, Y.N.; Chen, S.J.: ¬A metadata practice of the OFLA FRBR model : a case study for the National Palace Museum in Taipai (2004) 4.34

   4.3394766 = sum of:
     4.3394766 = weight(author_txt:chen in 4384) [ClassicSimilarity], result of:
       4.3394766 = score(doc=4384,freq=2.0), product of:
         0.99999994 = queryWeight, product of:
           6.136947 = idf(docFreq=260, maxDocs=44421)
           0.16294746 = queryNorm
         4.339477 = fieldWeight in 4384, product of:
           1.4142135 = tf(freq=2.0), with freq of:
             2.0 = termFreq=2.0
           6.136947 = idf(docFreq=260, maxDocs=44421)
           0.5 = fieldNorm(doc=4384)
   

2. Chen, C.C.; Chen, H.H.; Chen, K.H.: ¬The design of the XML/Metadata management system (2000) 3.99

   3.9860637 = sum of:
     3.9860637 = weight(author_txt:chen in 5633) [ClassicSimilarity], result of:
       3.9860637 = score(doc=5633,freq=3.0), product of:
         0.99999994 = queryWeight, product of:
           6.136947 = idf(docFreq=260, maxDocs=44421)
           0.16294746 = queryNorm
         3.986064 = fieldWeight in 5633, product of:
           1.7320508 = tf(freq=3.0), with freq of:
             3.0 = termFreq=3.0
           6.136947 = idf(docFreq=260, maxDocs=44421)
           0.375 = fieldNorm(doc=5633)
   

3. Chen, W.Y.: Observations on cataloguing and classification (1991) 3.84

   3.8355918 = sum of:
     3.8355918 = weight(author_txt:chen in 4183) [ClassicSimilarity], result of:
       3.8355918 = score(doc=4183,freq=1.0), product of:
         0.99999994 = queryWeight, product of:
           6.136947 = idf(docFreq=260, maxDocs=44421)
           0.16294746 = queryNorm
         3.835592 = fieldWeight in 4183, product of:
           1.0 = tf(freq=1.0), with freq of:
             1.0 = termFreq=1.0
           6.136947 = idf(docFreq=260, maxDocs=44421)
           0.625 = fieldNorm(doc=4183)
   

4. Chen, H.: Knowledge-based document retrieval : framework and design (1992) 3.84

   3.8355918 = sum of:
     3.8355918 = weight(author_txt:chen in 5282) [ClassicSimilarity], result of:
       3.8355918 = score(doc=5282,freq=1.0), product of:
         0.99999994 = queryWeight, product of:
           6.136947 = idf(docFreq=260, maxDocs=44421)
           0.16294746 = queryNorm
         3.835592 = fieldWeight in 5282, product of:
           1.0 = tf(freq=1.0), with freq of:
             1.0 = termFreq=1.0
           6.136947 = idf(docFreq=260, maxDocs=44421)
           0.625 = fieldNorm(doc=5282)
   

5. Chen, P.S.: On inference rules of logic-based information retrieval systems (1994) 3.84

   3.8355918 = sum of:
     3.8355918 = weight(author_txt:chen in 6730) [ClassicSimilarity], result of:
       3.8355918 = score(doc=6730,freq=1.0), product of:
         0.99999994 = queryWeight, product of:
           6.136947 = idf(docFreq=260, maxDocs=44421)
           0.16294746 = queryNorm
         3.835592 = fieldWeight in 6730, product of:
           1.0 = tf(freq=1.0), with freq of:
             1.0 = termFreq=1.0
           6.136947 = idf(docFreq=260, maxDocs=44421)
           0.625 = fieldNorm(doc=6730)
   

Similar documents (content)

1. Varathan, K.D.; Giachanou, A.; Crestani, F.: Comparative opinion mining : a review (2017) 0.32

   0.32021067 = sum of:
     0.32021067 = product of:
       1.3342111 = sum of:
         0.0108173685 = weight(abstract_txt:information in 4540) [ClassicSimilarity], result of:
           0.0108173685 = score(doc=4540,freq=2.0), product of:
             0.05059514 = queryWeight, product of:
               1.3448166 = boost
               2.4188995 = idf(docFreq=10748, maxDocs=44421)
               0.015553492 = queryNorm
             0.21380253 = fieldWeight in 4540, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               2.4188995 = idf(docFreq=10748, maxDocs=44421)
               0.0625 = fieldNorm(doc=4540)
         0.01966787 = weight(abstract_txt:from in 4540) [ClassicSimilarity], result of:
           0.01966787 = score(doc=4540,freq=3.0), product of:
             0.065841876 = queryWeight, product of:
               1.5341215 = boost
               2.759399 = idf(docFreq=7646, maxDocs=44421)
               0.015553492 = queryNorm
             0.29871368 = fieldWeight in 4540, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               2.759399 = idf(docFreq=7646, maxDocs=44421)
               0.0625 = fieldNorm(doc=4540)
         0.09219192 = weight(abstract_txt:sentiment in 4540) [ClassicSimilarity], result of:
           0.09219192 = score(doc=4540,freq=1.0), product of:
             0.19596851 = queryWeight, product of:
               1.6739088 = boost
               7.5270805 = idf(docFreq=64, maxDocs=44421)
               0.015553492 = queryNorm
             0.47044253 = fieldWeight in 4540, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.5270805 = idf(docFreq=64, maxDocs=44421)
               0.0625 = fieldNorm(doc=4540)
         0.09177859 = weight(abstract_txt:subjective in 4540) [ClassicSimilarity], result of:
           0.09177859 = score(doc=4540,freq=1.0), product of:
             0.22365694 = queryWeight, product of:
               2.1901581 = boost
               6.565669 = idf(docFreq=169, maxDocs=44421)
               0.015553492 = queryNorm
             0.41035432 = fieldWeight in 4540, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.565669 = idf(docFreq=169, maxDocs=44421)
               0.0625 = fieldNorm(doc=4540)
         0.30496523 = weight(abstract_txt:mining in 4540) [ClassicSimilarity], result of:
           0.30496523 = score(doc=4540,freq=9.0), product of:
             0.26352414 = queryWeight, product of:
               2.745136 = boost
               6.1720386 = idf(docFreq=251, maxDocs=44421)
               0.015553492 = queryNorm
             1.1572572 = fieldWeight in 4540, product of:
               3.0 = tf(freq=9.0), with freq of:
                 9.0 = termFreq=9.0
               6.1720386 = idf(docFreq=251, maxDocs=44421)
               0.0625 = fieldNorm(doc=4540)
         0.81479007 = weight(abstract_txt:opinion in 4540) [ClassicSimilarity], result of:
           0.81479007 = score(doc=4540,freq=11.0), product of:
             0.571891 = queryWeight, product of:
               5.3496985 = boost
               6.8731537 = idf(docFreq=124, maxDocs=44421)
               0.015553492 = queryNorm
             1.4247296 = fieldWeight in 4540, product of:
               3.3166249 = tf(freq=11.0), with freq of:
                 11.0 = termFreq=11.0
               6.8731537 = idf(docFreq=124, maxDocs=44421)
               0.0625 = fieldNorm(doc=4540)
       0.24 = coord(6/25)
   

2. Ku, L.-W.; Ho, H.-W.; Chen, H.-H.: Opinion mining and relationship discovery using CopeOpi opinion analysis system (2009) 0.30

   0.30121285 = sum of:
     0.30121285 = product of:
       1.0757601 = sum of:
         0.0076490347 = weight(abstract_txt:information in 3938) [ClassicSimilarity], result of:
           0.0076490347 = score(doc=3938,freq=1.0), product of:
             0.05059514 = queryWeight, product of:
               1.3448166 = boost
               2.4188995 = idf(docFreq=10748, maxDocs=44421)
               0.015553492 = queryNorm
             0.15118122 = fieldWeight in 3938, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               2.4188995 = idf(docFreq=10748, maxDocs=44421)
               0.0625 = fieldNorm(doc=3938)
         0.01966787 = weight(abstract_txt:from in 3938) [ClassicSimilarity], result of:
           0.01966787 = score(doc=3938,freq=3.0), product of:
             0.065841876 = queryWeight, product of:
               1.5341215 = boost
               2.759399 = idf(docFreq=7646, maxDocs=44421)
               0.015553492 = queryNorm
             0.29871368 = fieldWeight in 3938, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               2.759399 = idf(docFreq=7646, maxDocs=44421)
               0.0625 = fieldNorm(doc=3938)
         0.016930599 = weight(abstract_txt:their in 3938) [ClassicSimilarity], result of:
           0.016930599 = score(doc=3938,freq=1.0), product of:
             0.08593154 = queryWeight, product of:
               1.7526087 = boost
               3.1523883 = idf(docFreq=5161, maxDocs=44421)
               0.015553492 = queryNorm
             0.19702427 = fieldWeight in 3938, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.1523883 = idf(docFreq=5161, maxDocs=44421)
               0.0625 = fieldNorm(doc=3938)
         0.03788741 = weight(abstract_txt:documents in 3938) [ClassicSimilarity], result of:
           0.03788741 = score(doc=3938,freq=1.0), product of:
             0.14701703 = queryWeight, product of:
               2.292411 = boost
               4.123322 = idf(docFreq=1954, maxDocs=44421)
               0.015553492 = queryNorm
             0.25770763 = fieldWeight in 3938, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.123322 = idf(docFreq=1954, maxDocs=44421)
               0.0625 = fieldNorm(doc=3938)
         0.1549648 = weight(abstract_txt:opinions in 3938) [ClassicSimilarity], result of:
           0.1549648 = score(doc=3938,freq=2.0), product of:
             0.25170982 = queryWeight, product of:
               2.3234556 = boost
               6.965269 = idf(docFreq=113, maxDocs=44421)
               0.015553492 = queryNorm
             0.6156486 = fieldWeight in 3938, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               6.965269 = idf(docFreq=113, maxDocs=44421)
               0.0625 = fieldNorm(doc=3938)
         0.10165507 = weight(abstract_txt:mining in 3938) [ClassicSimilarity], result of:
           0.10165507 = score(doc=3938,freq=1.0), product of:
             0.26352414 = queryWeight, product of:
               2.745136 = boost
               6.1720386 = idf(docFreq=251, maxDocs=44421)
               0.015553492 = queryNorm
             0.3857524 = fieldWeight in 3938, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.1720386 = idf(docFreq=251, maxDocs=44421)
               0.0625 = fieldNorm(doc=3938)
         0.7370053 = weight(abstract_txt:opinion in 3938) [ClassicSimilarity], result of:
           0.7370053 = score(doc=3938,freq=9.0), product of:
             0.571891 = queryWeight, product of:
               5.3496985 = boost
               6.8731537 = idf(docFreq=124, maxDocs=44421)
               0.015553492 = queryNorm
             1.2887163 = fieldWeight in 3938, product of:
               3.0 = tf(freq=9.0), with freq of:
                 9.0 = termFreq=9.0
               6.8731537 = idf(docFreq=124, maxDocs=44421)
               0.0625 = fieldNorm(doc=3938)
       0.28 = coord(7/25)
   

3. Huang, H.-H.; Wang, J.-J.; Chen, H.-H.: Implicit opinion analysis : extraction and polarity labelling (2017) 0.30

   0.2989873 = sum of:
     0.2989873 = product of:
       1.2457805 = sum of:
         0.011473552 = weight(abstract_txt:information in 4820) [ClassicSimilarity], result of:
           0.011473552 = score(doc=4820,freq=1.0), product of:
             0.05059514 = queryWeight, product of:
               1.3448166 = boost
               2.4188995 = idf(docFreq=10748, maxDocs=44421)
               0.015553492 = queryNorm
             0.22677183 = fieldWeight in 4820, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               2.4188995 = idf(docFreq=10748, maxDocs=44421)
               0.09375 = fieldNorm(doc=4820)
         0.13828789 = weight(abstract_txt:sentiment in 4820) [ClassicSimilarity], result of:
           0.13828789 = score(doc=4820,freq=1.0), product of:
             0.19596851 = queryWeight, product of:
               1.6739088 = boost
               7.5270805 = idf(docFreq=64, maxDocs=44421)
               0.015553492 = queryNorm
             0.7056638 = fieldWeight in 4820, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.5270805 = idf(docFreq=64, maxDocs=44421)
               0.09375 = fieldNorm(doc=4820)
         0.164365 = weight(abstract_txt:opinions in 4820) [ClassicSimilarity], result of:
           0.164365 = score(doc=4820,freq=1.0), product of:
             0.25170982 = queryWeight, product of:
               2.3234556 = boost
               6.965269 = idf(docFreq=113, maxDocs=44421)
               0.015553492 = queryNorm
             0.652994 = fieldWeight in 4820, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.965269 = idf(docFreq=113, maxDocs=44421)
               0.09375 = fieldNorm(doc=4820)
         0.14090617 = weight(abstract_txt:words in 4820) [ClassicSimilarity], result of:
           0.14090617 = score(doc=4820,freq=2.0), product of:
             0.19843437 = queryWeight, product of:
               2.3821115 = boost
               5.355831 = idf(docFreq=569, maxDocs=44421)
               0.015553492 = queryNorm
             0.71008956 = fieldWeight in 4820, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               5.355831 = idf(docFreq=569, maxDocs=44421)
               0.09375 = fieldNorm(doc=4820)
         0.15248261 = weight(abstract_txt:mining in 4820) [ClassicSimilarity], result of:
           0.15248261 = score(doc=4820,freq=1.0), product of:
             0.26352414 = queryWeight, product of:
               2.745136 = boost
               6.1720386 = idf(docFreq=251, maxDocs=44421)
               0.015553492 = queryNorm
             0.5786286 = fieldWeight in 4820, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.1720386 = idf(docFreq=251, maxDocs=44421)
               0.09375 = fieldNorm(doc=4820)
         0.6382653 = weight(abstract_txt:opinion in 4820) [ClassicSimilarity], result of:
           0.6382653 = score(doc=4820,freq=3.0), product of:
             0.571891 = queryWeight, product of:
               5.3496985 = boost
               6.8731537 = idf(docFreq=124, maxDocs=44421)
               0.015553492 = queryNorm
             1.1160611 = fieldWeight in 4820, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               6.8731537 = idf(docFreq=124, maxDocs=44421)
               0.09375 = fieldNorm(doc=4820)
       0.24 = coord(6/25)
   

4. Belbachir, F.; Boughanem, M.: Using language models to improve opinion detection (2018) 0.29

   0.29317686 = sum of:
     0.29317686 = product of:
       1.0470603 = sum of:
         0.0115924515 = weight(abstract_txt:information in 44) [ClassicSimilarity], result of:
           0.0115924515 = score(doc=44,freq=3.0), product of:
             0.05059514 = queryWeight, product of:
               1.3448166 = boost
               2.4188995 = idf(docFreq=10748, maxDocs=44421)
               0.015553492 = queryNorm
             0.22912185 = fieldWeight in 44, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               2.4188995 = idf(docFreq=10748, maxDocs=44421)
               0.0546875 = fieldNorm(doc=44)
         0.009935844 = weight(abstract_txt:from in 44) [ClassicSimilarity], result of:
           0.009935844 = score(doc=44,freq=1.0), product of:
             0.065841876 = queryWeight, product of:
               1.5341215 = boost
               2.759399 = idf(docFreq=7646, maxDocs=44421)
               0.015553492 = queryNorm
             0.15090463 = fieldWeight in 44, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               2.759399 = idf(docFreq=7646, maxDocs=44421)
               0.0546875 = fieldNorm(doc=44)
         0.020950546 = weight(abstract_txt:their in 44) [ClassicSimilarity], result of:
           0.020950546 = score(doc=44,freq=2.0), product of:
             0.08593154 = queryWeight, product of:
               1.7526087 = boost
               3.1523883 = idf(docFreq=5161, maxDocs=44421)
               0.015553492 = queryNorm
             0.2438051 = fieldWeight in 44, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               3.1523883 = idf(docFreq=5161, maxDocs=44421)
               0.0546875 = fieldNorm(doc=44)
         0.11357021 = weight(abstract_txt:subjective in 44) [ClassicSimilarity], result of:
           0.11357021 = score(doc=44,freq=2.0), product of:
             0.22365694 = queryWeight, product of:
               2.1901581 = boost
               6.565669 = idf(docFreq=169, maxDocs=44421)
               0.015553492 = queryNorm
             0.5077876 = fieldWeight in 44, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               6.565669 = idf(docFreq=169, maxDocs=44421)
               0.0546875 = fieldNorm(doc=44)
         0.057420053 = weight(abstract_txt:documents in 44) [ClassicSimilarity], result of:
           0.057420053 = score(doc=44,freq=3.0), product of:
             0.14701703 = queryWeight, product of:
               2.292411 = boost
               4.123322 = idf(docFreq=1954, maxDocs=44421)
               0.015553492 = queryNorm
             0.39056736 = fieldWeight in 44, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               4.123322 = idf(docFreq=1954, maxDocs=44421)
               0.0546875 = fieldNorm(doc=44)
         0.08894819 = weight(abstract_txt:mining in 44) [ClassicSimilarity], result of:
           0.08894819 = score(doc=44,freq=1.0), product of:
             0.26352414 = queryWeight, product of:
               2.745136 = boost
               6.1720386 = idf(docFreq=251, maxDocs=44421)
               0.015553492 = queryNorm
             0.33753335 = fieldWeight in 44, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.1720386 = idf(docFreq=251, maxDocs=44421)
               0.0546875 = fieldNorm(doc=44)
         0.7446429 = weight(abstract_txt:opinion in 44) [ClassicSimilarity], result of:
           0.7446429 = score(doc=44,freq=12.0), product of:
             0.571891 = queryWeight, product of:
               5.3496985 = boost
               6.8731537 = idf(docFreq=124, maxDocs=44421)
               0.015553492 = queryNorm
             1.3020713 = fieldWeight in 44, product of:
               3.4641016 = tf(freq=12.0), with freq of:
                 12.0 = termFreq=12.0
               6.8731537 = idf(docFreq=124, maxDocs=44421)
               0.0546875 = fieldNorm(doc=44)
       0.28 = coord(7/25)
   

5. Sleem-Amer, M.; Bigorgne, I.; Brizard, S.; Santos, L.D.P.D.; Bouhairi, Y. El; Goujon, B.; Lorin, S.; Martineau, C.; Rigouste, L.; Varga, L.: Intelligent semantic search engines for opinion and sentiment mining (2012) 0.27

   0.26562715 = sum of:
     0.26562715 = product of:
       0.94866836 = sum of:
         0.044248078 = weight(abstract_txt:positive in 1100) [ClassicSimilarity], result of:
           0.044248078 = score(doc=1100,freq=1.0), product of:
             0.12013069 = queryWeight, product of:
               1.3105863 = boost
               5.8933253 = idf(docFreq=332, maxDocs=44421)
               0.015553492 = queryNorm
             0.36833283 = fieldWeight in 1100, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.8933253 = idf(docFreq=332, maxDocs=44421)
               0.0625 = fieldNorm(doc=1100)
         0.054023743 = weight(abstract_txt:negative in 1100) [ClassicSimilarity], result of:
           0.054023743 = score(doc=1100,freq=1.0), product of:
             0.1372295 = queryWeight, product of:
               1.4007556 = boost
               6.2987905 = idf(docFreq=221, maxDocs=44421)
               0.015553492 = queryNorm
             0.3936744 = fieldWeight in 1100, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.2987905 = idf(docFreq=221, maxDocs=44421)
               0.0625 = fieldNorm(doc=1100)
         0.13037907 = weight(abstract_txt:sentiment in 1100) [ClassicSimilarity], result of:
           0.13037907 = score(doc=1100,freq=2.0), product of:
             0.19596851 = queryWeight, product of:
               1.6739088 = boost
               7.5270805 = idf(docFreq=64, maxDocs=44421)
               0.015553492 = queryNorm
             0.6653062 = fieldWeight in 1100, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               7.5270805 = idf(docFreq=64, maxDocs=44421)
               0.0625 = fieldNorm(doc=1100)
         0.03788741 = weight(abstract_txt:documents in 1100) [ClassicSimilarity], result of:
           0.03788741 = score(doc=1100,freq=1.0), product of:
             0.14701703 = queryWeight, product of:
               2.292411 = boost
               4.123322 = idf(docFreq=1954, maxDocs=44421)
               0.015553492 = queryNorm
             0.25770763 = fieldWeight in 1100, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.123322 = idf(docFreq=1954, maxDocs=44421)
               0.0625 = fieldNorm(doc=1100)
         0.1549648 = weight(abstract_txt:opinions in 1100) [ClassicSimilarity], result of:
           0.1549648 = score(doc=1100,freq=2.0), product of:
             0.25170982 = queryWeight, product of:
               2.3234556 = boost
               6.965269 = idf(docFreq=113, maxDocs=44421)
               0.015553492 = queryNorm
             0.6156486 = fieldWeight in 1100, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               6.965269 = idf(docFreq=113, maxDocs=44421)
               0.0625 = fieldNorm(doc=1100)
         0.10165507 = weight(abstract_txt:mining in 1100) [ClassicSimilarity], result of:
           0.10165507 = score(doc=1100,freq=1.0), product of:
             0.26352414 = queryWeight, product of:
               2.745136 = boost
               6.1720386 = idf(docFreq=251, maxDocs=44421)
               0.015553492 = queryNorm
             0.3857524 = fieldWeight in 1100, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.1720386 = idf(docFreq=251, maxDocs=44421)
               0.0625 = fieldNorm(doc=1100)
         0.4255102 = weight(abstract_txt:opinion in 1100) [ClassicSimilarity], result of:
           0.4255102 = score(doc=1100,freq=3.0), product of:
             0.571891 = queryWeight, product of:
               5.3496985 = boost
               6.8731537 = idf(docFreq=124, maxDocs=44421)
               0.015553492 = queryNorm
             0.7440407 = fieldWeight in 1100, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               6.8731537 = idf(docFreq=124, maxDocs=44421)
               0.0625 = fieldNorm(doc=1100)
       0.28 = coord(7/25)