Sentiment lexicons (SL)(aka lexical resources) are the repositories of one or several
dictionaries that consist of known and precompiled sentiment terms. These lexicons play an …

Purpose Hate speech in recent times has become a troubling development. It has different
meanings to different people in different cultures. The anonymity and ubiquity of the social …

Sentiment analysis is one of the most important tasks in natural language processing. The
goal of sentiment analysis is to classify the text-based sentiment tendencies by extracting …

A corpus-based sentiment analysis approach for messages written in Arabic and its dialects
is presented and implemented. The originality of this approach resides in the automation …

In order to improve the accuracy and generalization performance of text sentiment analysis
model, an integrated learning model is proposed in this paper, which includes three different …

Nowadays, sentiment analysis (SA) also known as opinion mining (OM) is widely used and
has an impressive effect in many fields, such as marketing, politics, and even, company's …

The prominent approach in sentiment polarity classification is the Lexicon-based approach
which relies on a dictionary to assign a score to subjective words. Most of the existing work …

To determine whether a document or a sentence expresses a positive or negative sentiment,
three main approach types are commonly used: lexicon based approaches, machine …

With the rapid development of Internet technology, the network has become an
indispensable way of life for undergraduates. The correct guidance of public opinion has …

ABSTRACT A set of tweets are characterized manually using human clarification with their
sentiments and contemplate as training data. Then an additional set of tweets that is live …