Sentiment Analysis is analyzing text and extracting information like negative or positive
opinion. It is also known as opinion mining. Due to the increase in social media usage …

This study assesses whether references to the ancient past in debates about political issues
on social media over-represent negative and extreme views. Using precision-recall, we test …

The popularity of peer-to-peer (P2P) housing services has increased the demand for
understanding guests' emotional experiences and sentiments towards these services. This …

This paper proposes a novel hybrid embedding to enhance scope of word embeddings by
augmenting these with natural language processing operations. We primarily focus on the …

Although interpretable methods for deep learning models have become popular in
sentiment analysis domains in recent years, existing methods still face the challenge of …

In the digital age, social media has emerged as a significant platform, generating a vast
amount of raw data daily. This data reflects the opinions of individuals from diverse …

This paper discusses the issue of airfare. A set of characteristics defining a typical flight is
chosen for this purpose, with the assumption that these characteristics influence the price of …

Public opinion is important for decision-making on numerous occasions for national growth
in democratic countries like Bangladesh, the USA, and India. Sentiment analysis is a …

Sentiment Analysis is one of the major NLP tasks, which mainly focuses on finding polarity
(sentiment) and intention for a given piece of textual data. The data can range from a …

The role of social networks has bought a tremendous change in the analysis of the opinions.
Understanding people sentiments or opinion helps the business or organization to better …