-
Crestani, F.; Rijsbergen, C.J. van: Information retrieval by imaging (1996)
0.04
0.040358387 = product of:
0.080716774 = sum of:
0.080716774 = sum of:
0.038392097 = weight(_text_:society in 6967) [ClassicSimilarity], result of:
0.038392097 = score(doc=6967,freq=2.0), product of:
0.17364666 = queryWeight, product of:
3.3351789 = idf(docFreq=4279, maxDocs=44218)
0.05206517 = queryNorm
0.22109321 = fieldWeight in 6967, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3351789 = idf(docFreq=4279, maxDocs=44218)
0.046875 = fieldNorm(doc=6967)
0.042324673 = weight(_text_:22 in 6967) [ClassicSimilarity], result of:
0.042324673 = score(doc=6967,freq=2.0), product of:
0.18232337 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.05206517 = queryNorm
0.23214069 = fieldWeight in 6967, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=6967)
0.5 = coord(1/2)
- Source
- Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
-
Crestani, F.; Dominich, S.; Lalmas, M.; Rijsbergen, C.J.K. van: Mathematical, logical, and formal methods in information retrieval : an introduction to the special issue (2003)
0.04
0.040358387 = product of:
0.080716774 = sum of:
0.080716774 = sum of:
0.038392097 = weight(_text_:society in 1451) [ClassicSimilarity], result of:
0.038392097 = score(doc=1451,freq=2.0), product of:
0.17364666 = queryWeight, product of:
3.3351789 = idf(docFreq=4279, maxDocs=44218)
0.05206517 = queryNorm
0.22109321 = fieldWeight in 1451, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3351789 = idf(docFreq=4279, maxDocs=44218)
0.046875 = fieldNorm(doc=1451)
0.042324673 = weight(_text_:22 in 1451) [ClassicSimilarity], result of:
0.042324673 = score(doc=1451,freq=2.0), product of:
0.18232337 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.05206517 = queryNorm
0.23214069 = fieldWeight in 1451, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=1451)
0.5 = coord(1/2)
- Date
- 22. 3.2003 19:27:36
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.4, S.281-284
-
Crestani, F.; Du, H.: Written versus spoken queries : a qualitative and quantitative comparative analysis (2006)
0.04
0.040358387 = product of:
0.080716774 = sum of:
0.080716774 = sum of:
0.038392097 = weight(_text_:society in 5047) [ClassicSimilarity], result of:
0.038392097 = score(doc=5047,freq=2.0), product of:
0.17364666 = queryWeight, product of:
3.3351789 = idf(docFreq=4279, maxDocs=44218)
0.05206517 = queryNorm
0.22109321 = fieldWeight in 5047, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3351789 = idf(docFreq=4279, maxDocs=44218)
0.046875 = fieldNorm(doc=5047)
0.042324673 = weight(_text_:22 in 5047) [ClassicSimilarity], result of:
0.042324673 = score(doc=5047,freq=2.0), product of:
0.18232337 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.05206517 = queryNorm
0.23214069 = fieldWeight in 5047, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=5047)
0.5 = coord(1/2)
- Date
- 5. 6.2006 11:22:23
- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.7, S.881-890
-
Tombros, T.; Crestani, F.: Users' perception of relevance of spoken documents (2000)
0.01
0.0111976955 = product of:
0.022395391 = sum of:
0.022395391 = product of:
0.044790782 = sum of:
0.044790782 = weight(_text_:society in 4996) [ClassicSimilarity], result of:
0.044790782 = score(doc=4996,freq=2.0), product of:
0.17364666 = queryWeight, product of:
3.3351789 = idf(docFreq=4279, maxDocs=44218)
0.05206517 = queryNorm
0.25794208 = fieldWeight in 4996, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3351789 = idf(docFreq=4279, maxDocs=44218)
0.0546875 = fieldNorm(doc=4996)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Source
- Journal of the American Society for Information Science. 51(2000) no.10, S.929-939
-
Bache, R.; Baillie, M.; Crestani, F.: Measuring the likelihood property of scoring functions in general retrieval models (2009)
0.01
0.0111976955 = product of:
0.022395391 = sum of:
0.022395391 = product of:
0.044790782 = sum of:
0.044790782 = weight(_text_:society in 2860) [ClassicSimilarity], result of:
0.044790782 = score(doc=2860,freq=2.0), product of:
0.17364666 = queryWeight, product of:
3.3351789 = idf(docFreq=4279, maxDocs=44218)
0.05206517 = queryNorm
0.25794208 = fieldWeight in 2860, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3351789 = idf(docFreq=4279, maxDocs=44218)
0.0546875 = fieldNorm(doc=2860)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.6, S.1294-1297
-
Simeoni, F.; Yakici, M.; Neely, S.; Crestani, F.: Metadata harvesting for content-based distributed information retrieval (2008)
0.01
0.007998354 = product of:
0.015996708 = sum of:
0.015996708 = product of:
0.031993415 = sum of:
0.031993415 = weight(_text_:society in 1336) [ClassicSimilarity], result of:
0.031993415 = score(doc=1336,freq=2.0), product of:
0.17364666 = queryWeight, product of:
3.3351789 = idf(docFreq=4279, maxDocs=44218)
0.05206517 = queryNorm
0.18424435 = fieldWeight in 1336, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3351789 = idf(docFreq=4279, maxDocs=44218)
0.0390625 = fieldNorm(doc=1336)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.1, S.12-24
-
Keikha, M.; Crestani, F.; Carman, M.J.: Employing document dependency in blog search (2012)
0.01
0.007998354 = product of:
0.015996708 = sum of:
0.015996708 = product of:
0.031993415 = sum of:
0.031993415 = weight(_text_:society in 4987) [ClassicSimilarity], result of:
0.031993415 = score(doc=4987,freq=2.0), product of:
0.17364666 = queryWeight, product of:
3.3351789 = idf(docFreq=4279, maxDocs=44218)
0.05206517 = queryNorm
0.18424435 = fieldWeight in 4987, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3351789 = idf(docFreq=4279, maxDocs=44218)
0.0390625 = fieldNorm(doc=4987)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.2, S.354-365
-
Giachanou, A.; Rosso, P.; Crestani, F.: ¬The impact of emotional signals on credibility assessment (2021)
0.01
0.007998354 = product of:
0.015996708 = sum of:
0.015996708 = product of:
0.031993415 = sum of:
0.031993415 = weight(_text_:society in 328) [ClassicSimilarity], result of:
0.031993415 = score(doc=328,freq=2.0), product of:
0.17364666 = queryWeight, product of:
3.3351789 = idf(docFreq=4279, maxDocs=44218)
0.05206517 = queryNorm
0.18424435 = fieldWeight in 328, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3351789 = idf(docFreq=4279, maxDocs=44218)
0.0390625 = fieldNorm(doc=328)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- Fake news is considered one of the main threats of our society. The aim of fake news is usually to confuse readers and trigger intense emotions to them in an attempt to be spread through social networks. Even though recent studies have explored the effectiveness of different linguistic patterns for fake news detection, the role of emotional signals has not yet been explored. In this paper, we focus on extracting emotional signals from claims and evaluating their effectiveness on credibility assessment. First, we explore different methodologies for extracting the emotional signals that can be triggered to the users when they read a claim. Then, we present emoCred, a model that is based on a long-short term memory model that incorporates emotional signals extracted from the text of the claims to differentiate between credible and non-credible ones. In addition, we perform an analysis to understand which emotional signals and which terms are the most useful for the different credibility classes. We conduct extensive experiments and a thorough analysis on real-world datasets. Our results indicate the importance of incorporating emotional signals in the credibility assessment problem.
