Title :
A framework for laptop review analysis
Author :
Thanapat Chatchaithanawat;Pakawan Pugsee
Author_Institution :
Innovative Network and Software Engineering Technology Laboratory, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University Bangkok, Thailand
Abstract :
This research paper shows the proposed framework which enables users to know what the review about the laptop is. The objective of this research is to analyze messages from community websites and identify subjective paragraphs and the sentiment of texts. There are three main procedures of this framework. Firstly, subjective paragraphs will be detected from the source materials by detecting subjective words. Secondly, the aspects of subjective paragraphs will be defined by the frequency of words in each aspect. Finally, the sentiment of texts will be classified by the machine learning. In conclusion, the results of this framework are identified subjective paragraphs in each aspect and the sentiment of texts in paragraphs. So this technique framework is useful for the system applied for analyzing the laptop reviews as to help the customer make decision before purchasing.
Keywords :
"Portable computers","Sentiment analysis","Accuracy","Speech","Object recognition","Twitter"
Conference_Titel :
Advanced Informatics: Concepts, Theory and Applications (ICAICTA), 2015 2nd International Conference on
Print_ISBN :
978-1-4673-8142-0
DOI :
10.1109/ICAICTA.2015.7335358