Sentiment Analysis Approach for Resource-Scarce Languages
| Author(s) | : | Kanika Garg, Goonjan Jain |
| Institution | : | School of Computer & Systems Sciences, JNU, Delhi |
| Published In | : | Vol. 4, Issue 7 — July 2017 |
| Page No. | : | 1-6 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Sentiment Analysis (also known as Opinion Mining) is taking an important role in the modern WebServices. This technique is derived from the most popular language processing known as “Natural LanguageProcessing”. Largenumbers of researches are done which provided tools and techniques to extract features fromtext.The main focus since was on English language. Several techniques regarding sentiment analysis like differentclassification techniques and machine learning techniques are discussed in this paper in detail.Previous work done inthis field provided methods and experimental analysis of reviews mentioned in this paper. This paper is mainlyemphasized on less popular languages like Chinese, Urdu, French, and German.
Kanika Garg, Goonjan Jain, “Sentiment Analysis Approach for Resource-Scarce Languages”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 7, pp. 1-6, July 2017.
