Sentiments or opinions from social media provide the most up-to-date and inclusive
information, due to the proliferation of social media and the low barrier for posting the …

New Avenues in Opinion Mining and Sentiment Analysis Page 1 New Avenues in Opinion
Mining and Sentiment Analysis Erik Cambria, Member, IEEE, Björn Schuller, Member, IEEE …

对文本情感分析的研究现状与进展进行了总结. 首先将文本情感分析归纳为3 项主要任务,
即情感信息抽取, 情感信息分类以及情感信息的检索与归纳, 并对它们进行了细致的介绍和分析; …

Universally modeling all typical information extraction tasks (UIE) with one generative
language model (GLM) has revealed great potential by the latest study, where various IE …

Argument mining is the automatic identification and extraction of the structure of inference
and reasoning expressed as arguments presented in natural language. Understanding …

Sentiment analysis as a field has come a long way since it was first introduced as a task
nearly 20 years ago. It has widespread commercial applications in various domains like …

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …

As a kind of user-generated information, online reviews contain customers' preferences for
different aspects of hotels, which not only influence customers' booking decisions but also …

Sentiment analysis on Twitter data has attracted much attention recently. In this paper, we
focus on target-dependent Twitter sentiment classification; namely, given a query, we …

Sentiment analysis is the computational study of people's opinions, sentiments, emotions,
moods, and attitudes. This fascinating problem offers numerous research challenges, but …