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Comments Mining With TF-IDF: The Inherent Bias and Its Removal
Inbal Yahav
,
Onn Shehory
,
David Schwartz
School of Business Administration
Research output
:
Contribution to journal
›
Article
›
peer-review
93
Scopus citations
Overview
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Dive into the research topics of 'Comments Mining With TF-IDF: The Inherent Bias and Its Removal'. Together they form a unique fingerprint.
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Keyphrases
Term Frequency-inverse Document Frequency (TF-IDF)
100%
Comment Mining
100%
Inherent Bias
100%
Politics
33%
Social Media
33%
Entertainment
33%
Sentiment Analysis
33%
Dependency Structure
33%
Text Mining
33%
Robustness Analysis
33%
Linguistic Terms
33%
Non-robust
33%
User-generated Content
33%
Statistical Bias
33%
Opinion Mining
33%
Facebook Fan Page
33%
Text Processing
33%
Domain of Interest
33%
Social Sciences
Discourse
100%
Opinion Mining
100%
Linguistics
50%
Finance
50%
Facebook
50%
Politics
50%
Social Media
50%
Text Mining
50%
Statistical Bias
50%
Computer Science
Sentiment Analysis
100%
Facebook
50%
Text Mining
50%
User-Generated Content
50%
Linguistic Term
50%
Preprocessing
50%
Social Media
50%
Mathematics
Opinion Mining
100%
Generated Content
50%
Statistical Bias
50%
Social Media
50%
Economics, Econometrics and Finance
Finance
100%
Statistical Bias
100%