Sentiments or opinions from social media provide the most up-to-date and inclusive
information, due to the proliferation of social media and the low barrier for posting 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 …

Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

With the advent of Web 2.0, people became more eager to express and share their opinions
on web regarding day-to-day activities and global issues as well. Evolution of social media …

Drug-resistant tuberculosis is a substantial health-care concern worldwide. Despite culture-
based methods being considered the gold standard for drug susceptibility testing, molecular …

Opinion mining (also called sentiment analysis) is a type of natural language processing for
computing people's opinions and emotions. It detects opinions from structured, semi …

Sentiment analysis automatically evaluates people's opinions of products or services. It is an
emerging research area with promising advancements in high-resource languages such as …

This article tackles the problem of performing multilingual polarity classification on Twitter,
comparing three techniques:(1) a multilingual model trained on a multilingual dataset …

Opinion-mining generally refers to analyzing opinions on various topics available in the form
of text. It is an essential operation of natural language processing since it enables efficient …

Consumer perceptions are key to the success of strategies to address water scarcity. A
decision pathway survey was used to investigate attitudes amongst South Africans (N= 668) …