The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …

Sentiment Analysis (SA) of text reviews is an emerging concern in Natural Language
Processing (NLP). It is a broadly active method for analyzing and extracting opinions from …

Sentiment analysis of short informal texts, such as tweets, remains a challenging task due to
their particular characteristics. Much effort has been made in the literature of Twitter …

Purpose The immense quantity of available unstructured text documents serve as one of the
largest source of information. Text classification can be an essential task for many purposes …

The spread of altered media in the form of fake videos, audios, and images, has been
largely increased over the past few years. Advanced digital manipulation tools and …

Due to the influence of netizens' behaviors, social activities, media and other factors, the
trend of online public opinion shows the characteristics of nonlinear and seasonal …

The exponential rise in social media via microblogging sites like Twitter has sparked
curiosity in sentiment analysis that exploits user feedback towards a targeted product or …

Lexicon-based approaches for review sentiment analysis have attracted significant attention
in recent years. Lots of sentiment lexicon generation methods have been proposed …

Sentiment analysis has become an important task in natural language processing because it
is used in many different areas. This paper gives a detailed review of sentiment analysis …

Analyzing a large number of documents for sentiment analysis entails huge complexity and
cost. To alleviate this burden, dimensionality reduction has been applied to documents as a …