The Role of Text Pre-processing in Sentiment Analysis
Brunel University of London · Chinese Academy of Sciences
Abstract
It is challenging to understand the latest trends and summarise the state or general opinions about products due to the big diversity and size of social media data, and this creates the need of automated and real time opinion extraction and mining. Mining online opinion is a form of sentiment analysis that is treated as a difficult text classification task. In this paper, we explore the role of text pre-processing in sentiment analysis, and report on experimental results that demonstrate that with appropriate feature selection and representation, sentiment analysis accuracies using support vector machines (SVM) in this area may be significantly improved. The level of accuracy achieved is shown to be comparable…
Citation impact
- FWCI
- 32.12
- Percentile
- 100%
- References
- 27
Authors
3Topics & keywords
- Sentiment analysis
- Computer science
- Support vector machine
- Selection (genetic algorithm)
- Representation (politics)
- Artificial intelligence
- Feature selection
- Task (project management)