Transliteration is very common on social media, but transliterated text is not adequately
handled by modern neural models for various NLP tasks. In this work, we combine data …

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 …

As ubiquitous as it is, the Internet has spawned a slew of products that have forever changed
the way one thinks of society and politics. This article proposes a model to predict chances …

Sentiment polarity detection is one of the most popular sentiment analysis tasks. Sentiment
polarity detection in tweets is a more difficult task than sentiment polarity detection in review …

In the era of technology, each and every one of us is expressing their opinion on social
media platforms very frequently. And these opinions are mostly expressed in regional …

Sentiment analysis has significantly progressed in English, whereas Hindi research is still
nascent. Despite being the third most spoken language worldwide, Hindi remains an RRL …

The recent years have witnessed a significant growth in the data collected from the reviews
posted on various websites. Reviews are a direct way of getting the response of the …

For sentiment analysis, lexicons are among the important resources. Existing sentiment
lexicons have a generic polarity for each word. In fact, many words have different polarities …

People identification is an essential task for video content analysis in a surveillance system.
To construct a good classifier requires a large amount of training data, which may not be …

Sentiment Analysis (SA) is more complex in Marathi (Indian Language) than in European
languages due to the inflectional words and phrases and comparatively limited resources …