Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …

There is an exponential growth in textual content generation every day in today's world. In-
app messaging such as Telegram and WhatsApp, social media websites such as Instagram …

Abstract Automatic Text Summarization (ATS) is an essential field in natural language
processing that attempts to condense large text documents so that users can assimilate …

Social Networking sites have become popular and common places for sharing wide range of
emotions through short texts. These emotions include happiness, sadness, anxiety, fear, etc …

This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …

User-generated content (UGC) contains customer opinions which can be used to hear the
voice of customers. This information can be useful in market surveillance, digital innovation …

Objective To review the literature and provide a summary of best practices for the design,
implementation, and assessment of decision aids. Methods A literature search and …

The objective of the paper is to detect sarcasm in human communication. The methodology
uses basic cognitive features of human utterances by capturing three modes of data viz …

The leading intention of the current paper is to review the research work accomplished by
various researchers to achieve sentiment analysis on the text and to elaborate on natural …

Automatic sentiment analysis has become one of the fastest growing research areas in the
Natural Language Processing (NLP) field. Despite its importance, this is the first work …