Sentiment analysis techniques are increasingly exploited to categorize the opinion text to
one or more predefined sentiment classes for the creation and automated maintenance of …

Since early 2000, sentiment analysis has grown to be one of the most active research areas
in Natural Language Processing (NLP). Since then, researchers have shown a tremendous …

The study covers the implementation of machine learning algorithm approaches in
sentiment analysis of Malaysia financial news headlines. This study can be used for …

Online social media is used to show the sentiments of different individuals about various
subjects. Sentiment analysis or opinion mining has recently been considered as one of the …

With the wide usage of World Wide Web (WWW) and social media platforms, fake news
could become rampant among the users. They tend to create and share the news without …

Sentiment analysis or opinion mining refers to the automatic extraction of sentiments from a
natural language text. Although many studies focusing on sentiment analysis have been …

Sentiment analysis is a method to determine whether the feedback given by the user is
positive or negative. The comments posted by users consists noisy text which includes …

Sentiment analysis is the computational study of people’ s opinion or feedback,
attitudes, and emotions toward entities, individuals, issues, events, topics and their …

Vital to the task of mining sentiment from text is a sentiment lexicon, or a dictionary of terms
annotated for their a priori information across the semantic dimension of sentiment. Each …

This paper proposes the design of an evolutionary algorithm for building classifiers
specifically aimed towards performing classification and sentiment analysis over texts …