SentiDiff: combining textual information and sentiment diffusion patterns for Twitter sentiment analysis

L Wang, J Niu, S Yu - IEEE Transactions on Knowledge and …, 2019 - ieeexplore.ieee.org
Twitter sentiment analysis has become a hot research topic in recent years. Most of existing
solutions to Twitter sentiment analysis basically only consider textual information of Twitter
messages, and struggle to perform well when facing short and ambiguous Twitter
messages. Recent studies show that sentiment diffusion patterns on Twitter have close
relationships with sentiment polarities of Twitter messages. Therefore, in this paper, we
focus on how to fuse textual information of Twitter messages and sentiment diffusion …

[PDF][PDF] SentiDiff Combining Textual Information and Sentiment Diffusion Patterns for Twitter Sentiment Analysis

A RAMESH, P BHARATH - journal-dogorangsang.in
In recent years, Twitter sentiment analysis has become a popular research subject. Most
current Twitter sentiment analysis tools only accept textual input from Twitter tweets and fail
to work well when confronted with brief and vague Twitter messages. Recent research
indicates that emotion diffusion trends on Twitter are closely related to the sentiment
polarities of Twitter tweets. As a result, in this article, we concentrate on how to combine
textual knowledge from Twitter messages and sentiment diffusion trends to improve …
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