With the constantly growing number of reviews and other sentiment-bearing texts on the
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …

Aspect-level sentiment analysis (ALSA) is the process of collecting, processing, analyzing,
inferring, and synthesizing subjective sentiments of entities contained in texts at the aspect …

Target-oriented sentiment classification aims at classifying sentiment polarities over
individual opinion targets in a sentence. RNN with attention seems a good fit for the …

Aspect-level sentiment classification is a fundamental subtask of fine-grained sentiment
analysis. The syntactic information and commonsense knowledge are important and useful …

Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …

The field of sentiment analysis, in which sentiment is gathered, analyzed, and aggregated
from text, has seen a lot of attention in the last few years. The corresponding growth of the …

Analyzing and extracting insights from user-generated data has become a topic of interest
among businesses and research groups because such data contains valuable information …

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 …

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

With the rapid development and popularization of Internet and mobile communication
technologies, text data mining has attracted much attention. In particular, with the wide use …