Abstract Purpose of Review Applying text mining to suicide research holds a great deal of
promise. In this manuscript, literature from 2019 to 2021 is critically reviewed for text mining …

Social networks have changed the communication patterns significantly. Information
available from different social networking sites can be well utilized for the analysis of users …

Question classification is a primary essential study for automatic question answering
implementations. Linguistic features take a significant role to develop an accurate question …

Aspect-based sentiment analysis (ABSA) is the sub-field of natural language processing that
deals with breaking or splitting texts into aspects and then classification into sentiments like …

In recent times, there has been tremendous growth in the number of multi-lingual users on
social media platforms. Consequently, the code-mixing phenomenon, ie, mixing of more …

Thanks to social media, people are now able to leave guiding comments quickly about their
favorite restaurants, movies, etc. This has paved the way for the field of sentiment analysis …

This study aims to examine the morphological aspects and their application in micro
linguistics and micro linguistics. Linguistics in terms of study can be divided into two types …

India is a multilingual country and a large portion of its population speaks more than one
language. It has been observed that such multilingual speakers switch between the …

Sentiment analysis is an essential step for analysing social media texts such as tweets and
other posts on the various micro-blogging sites. The basic step of sentiment analysis is …

Abstract Optical Character Recognition (OCR) has been widely discussed in various topics
in the rise of robotics, artificial intelligence and computer vision. OCR has become a solution …