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 …

Sentiment analysis on social media relies on comprehending the natural language and
using a robust machine learning technique that learns multiple layers of representations or …

Text classification is a basic task in natural language processing. When the amount of data
is insufficient, the classification accuracy will be greatly affected. We propose to use the back …

The literature scrutinizes on diverse techniques that are associated with sentiment analysis
in twitter data. It reviews several research papers and states the significant analysis. Initially …

In this paper, we discuss an approach to sentiment analysis and emotion identification for
user comments. The solution is threefold: 1) topic detection, 2) sentiment evaluation, 3) …

One of the purposes of detecting the crisis related tweets is the ability to single out the tweets
that provide information about the helps needed and offered. Classification of such tweets is …

Opinion mining and sentiment analysis based on social media has been developed these
years, especially with the popularity of social media and the development of machine …

One of the benefits of recognizing a slang, an id-iom or an abbreviation in a tweet is the
ability to help in finding certain sentiment in a concise and understandable manner …

Develo** an efficient twitter sentiment analysis framework is one of the most challenging
and demanding chores in current days. In the conventional works, various machine/deep …

Tweets are difficult to classify due to their simplicity and frequent use of non-standard
orthodoxy or slang words. Although several studies have identified highly accurate …