arXiv
Open Access
2014
Two-dimensional Sentiment Analysis of text
Rahul Tejwani
Abstrak
Sentiment Analysis aims to get the underlying viewpoint of the text, which could be anything that holds a subjective opinion, such as an online review, Movie rating, Comments on Blog posts etc. This paper presents a novel approach that classify text in two-dimensional Emotional space, based on the sentiments of the author. The approach uses existing lexical resources to extract feature set, which is trained using Supervised Learning techniques.
Penulis (1)
R
Rahul Tejwani
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2014
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓