International Journal of Data Mining and Emerging Technologies
  • Year: 2014
  • Volume: 4
  • Issue: 2

A Study and Analysis of Opinion Mining Research in Indo-Aryan, Dravidian and Tibeto-Burman Language Families

1Assistant Professor, Shroff S.R. Rotary Institute of Chemical Technology, Ankleshwar, 393002, Gujarat, India

2Associate Professor, Narmada College of Computer Application, Bharuch, 392001, Gujarat, India

*Corresponding author Email id: sidhurukku@yahoo.com

**saini_expert@yahoo.com

Abstract

Language is medium for communicating our ideas, feelings or emotions to one another. Written communication either online or offline makes use of different languages for exchange of thoughts or feelings with one another. Various techniques and methods are present in the field of opinion mining and sentiment analysis to extract the emotions from text. This paper presents an analysis of different language families present in India. Indo-Aryan, Dravidian and Tibeto-Burman families exists in India. This paper presents a study and analysis of different languages used for emotion detection and sentiment analysis for formal and informal piece of writing. In this study, six languages (Hindi, Bengali, Punjabi, Oriya, Urdu, and Marathi) from Indo-Aryan group, one language (Telugu) from Dravidian and one language (Manipuri) from Tibeto-Burman group are analysed. Text written using Oriya Language has outperformed all other language in task of opinion mining. Among all Indian languages, Punjabi needs to be explored in terms of sentiment analysis. This study also provides performance comparison of Indian languages with world language, that is, English. English language text has achieved higher performance as compared to Indian languages.

Keywords

Dravidian, Emotion Detection, English, Indo-Aryan, Opinion Mining, Sentiment Analysis, Tibeto-Burman