We are not able to deal with a mammoth text corpus without summarizing them into a
relatively small subset. A computational tool is extremely needed to understand such a …

Indians and many other non-English speakers across the world, prefer not to use single
code in their messaging texts on social media platforms. They make use of transliteration …

In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …

Abstract Language is a social phenomenon and variation is inherent to its social nature.
Recently, there has been a surge of interest within the computational linguistics (CL) …

Language identification at the document level has been considered an almost solved
problem in some application areas, but language detectors fail in the social media context …

Automatic understanding of noisy social media text is one of the prime presentday research
areas. Most research has so far concentrated on English texts; however, more than half of …

Linguistic research on multilingual societies has indicated that there is usually a preferred
language for expression of emotion and sentiment (Dewaele, 2010). Paucity of data has …

Previous researches have focused on analyzing emotion through monolingual text, when in
fact bilingual or code-switching posts are also common in social media. Despite the …

Previous research on emotions analysis has placed much emphasis in monolingual instead
of bilingual text. However, emotions on social media platforms are often found in bilingual or …

The cross-lingual topic analysis aims at extracting latent topics from corpora of different
languages. Early approaches rely on high-cost multilingual resources (eg, a parallel …