CommentsRadar: Dive into Unique Data on All Comments on the Web
Sergey Nikolenko, Elena Tutubalina, Zulfat Miftahutdinov and, Eugene Beloded
TL;DR
CommentsRadar is a comprehensive entity-centric search engine that aggregates, links, and analyzes comments and articles from top sites to uncover trends and insights in online commenting data.
Contribution
This work introduces a novel pipeline for aggregating and analyzing comments and articles, integrating entity linking and sentiment analysis for large-scale trend discovery.
Findings
Identifies temporal trends in online comments
Links comments to knowledge base entries
Provides case studies revealing insights from comment data
Abstract
We introduce an entity-centric search engineCommentsRadarthatpairs entity queries with articles and user opinions covering a widerange of topics from top commented sites. The engine aggregatesarticles and comments for these articles, extracts named entities,links them together and with knowledge base entries, performssentiment analysis, and aggregates the results, aiming to mine fortemporal trends and other insights. In this work, we present thegeneral engine, discuss the models used for all steps of this pipeline,and introduce several case studies that discover important insightsfrom online commenting data.
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Taxonomy
TopicsTopic Modeling · Sentiment Analysis and Opinion Mining · Text and Document Classification Technologies