Dependency Parser for Telugu Language

Nagaraju, G.; Mangathayaru, Nimmala; Rani, B. Padmaja

doi:10.1145/2905055.2905354

Cited by 3 publications

(1 citation statement)

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“…Telugu is rich morphology [21] which is very critical and is one of the challenges to evolve syntactic parsers for these kinds of languages. To build a dependency parser it needs a better morphology based POS (part of speech) tagger.…”

Section: Telugu Tweetsmentioning

confidence: 99%

A comparative review of the challenges encountered in sentiment analysis of Indian regional language tweets vs English language tweets

Soman¹,

Swaminathan²,

Anandan³

et al. 2018

IJET

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With the developed use of online medium these days for sharing views, sentiments and opinions about products, services, organization and people, micro blogging and social networking sites are acquiring a huge popularity. One of the biggest social media sites namely Twitter is used by several people to share their life events, views and opinion about different areas and concepts. Sentiment analysis is the computational research of reviews, opinions, attitudes, views and peoples' emotions about different products, services, firms and topics through categorizing them as negative and positive emotions. Sentiment analysis of tweets is a challenging task. This paper makes a critical review on the comparison of the challenges associated with sentiment analysis of Tweets in English Language versus Indian Regional Languages. Five Indian languages namely Tamil, Malayalam, Telugu, Hindi and Bengali have been considered in this research and several challenges associated with the analysis of Twitter sentiments in those languages have been identified and conceptualized in the form of a framework in this research through systematic review.

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Section: Telugu Tweetsmentioning

confidence: 99%