Sentiment analysis is one of the fastest growing research areas in computer science, making
it challenging to keep track of all the activities in the area. We present a computer-assisted …

As a response to the growing availability of informal, opinionated texts like blog posts and
product review websites, a field of Sentiment Analysis has sprung up in the past decade to …

Techniques and applications for sentiment analysis Page 1 82 communicAtionS of the Acm |
APrIl 2013 | vOl. 56 | nO. 4 review articles Doi:10.1145/2436256.2436274 The main …

Sentiment analysis becomes a very active research area in the text mining field. It aims to
extract people's opinions, sentiments, and subjectivity from the texts. Sentiment analysis can …

With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …

Sentiment analysis is a growing field at the intersection of linguistics and computer science
that attempts to automatically determine the sentiment contained in text. Sentiment can be …

The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …

A vast majority of the work in Sentiment Analysis has been on developing more accurate
sentiment classifiers, usually involving supervised machine learning algorithms and a …

Sentiment analysis is a critical subfield of natural language processing that focuses on
categorizing text into three primary sentiments: positive, negative, and neutral. With the …

Sentiment analysis has aroused the interest of many researchers in recent years, since
subjective texts are useful for many applications. In particular, sentiment analysis on online …