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Topic modeling using latent Dirichlet allocation: A survey
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 …
relatively small subset. A computational tool is extremely needed to understand such a …
Code-mixing: A brief survey
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 …
code in their messaging texts on social media platforms. They make use of transliteration …
Computational sociolinguistics: A survey
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) …
Recently, there has been a surge of interest within the computational linguistics (CL) …
[کتاب][B] Natural language processing for social media
A Farzindar, D Inkpen, G Hirst - 2015 - Springer
In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …
The newer research on language analysis in social media has been increasingly focusing …
Identifying languages at the word level in code-mixed indian social media text
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 …
problem in some application areas, but language detectors fail in the social media context …
Modeling dynamic topics in chain-free fashion by evolution-tracking contrastive learning and unassociated word exclusion
Dynamic topic models track the evolution of topics in sequential documents, which have
derived various applications like trend analysis and opinion mining. However, existing …
derived various applications like trend analysis and opinion mining. However, existing …
[PDF][PDF] Code-mixing in social media text
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 …
areas. Most research has so far concentrated on English texts; however, more than half of …
[PDF][PDF] Understanding language preference for expression of opinion and sentiment: What do hindi-english speakers do on twitter?
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 …
language for expression of emotion and sentiment (Dewaele, 2010). Paucity of data has …
Emotion analysis in code-switching text with joint factor graph model
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 …
of bilingual text. However, emotions on social media platforms are often found in bilingual or …
[PDF][PDF] Emotion in code-switching texts: Corpus construction and analysis
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 …
fact bilingual or code-switching posts are also common in social media. Despite the …