The essential use of natural language processing is to analyze the sentiment of the author
via the context. This sentiment analysis (SA) is said to determine the exactness of the …

Sentiment analysis (SA) is the automated process of detecting and understanding the
emotions conveyed through written text. Over the past decade, SA has gained significant …

Sentiment analysis is a computational analysis of unstructured textual data, used to assess
the person's attitude from a piece of text. Aspect-based sentimental analysis defines the …

Sentiment analysis (SA) is a continuing field of research that lies at the intersection of many
fields such as data mining, natural language processing and machine learning. It is …

Sentiment analysis (SA), also referred to as opinion mining, has become a widely used real-
world application of natural language processing in recent times. Its main goal is to identify …

Analyzing and understanding the sentiments of social media documents on Twitter,
Facebook, and Instagram has become a very important task at present. Analyzing the …

Sentiment analysis is a sub-domain in opinion mining that extracts sentiments from the
users' opinions from text messages. Opinions from E-commerce websites, blogs, online …

Convolution and recurrent neural network have obtained remarkable performance in natural
language processing (NLP). Moreover, from the attention mechanism perspective …

Sentiment analysis and opinion mining are valuable for extraction of useful subjective
information out of text documents. These tasks have become of great importance, especially …

Abstract Sentiment Analysis, also called Opinion Mining, is currently one of the most studied
research fields. Its aim is to analyze publics' sentiments, opinions, attitudes etc., towards …