Name
Abstract | ||
|---|---|---|
Nowadays, as we know the Internet is overgrowing thus the textual information is also rising very fast. In the few recent years, Sentiment Analysis has attracted increasing interest. Sentiment analysis (also known as opinion mining) is the process of determining the attitude of textual opinions whether they are positive, negative or neutral. In addition, recommender system is one of the hot topics in the field of big data, especially with the development and growth of the World Wide Web. This research aims to combine these two fields, by developing a solution that can predict rating of products that consider the sentiment of these products reviews. This research focuses mainly on Arabic reviews, where Arabic sentiment analysis has just flourished, and there are several problems and gaps not solved yet. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/IALP.2018.8629134 | 2018 International Conference on Asian Language Processing (IALP) |
Keywords | Field | DocType |
Sentiment Analysis,Arabic Textual Reviews,opinion mining,recommender systems,Rating Prediction | Recommender system,Information retrieval,Arabic,Sentiment analysis,Computer science,Support vector machine,Feature extraction,Artificial intelligence,Natural language processing,Product reviews,Big data,The Internet | Conference |
ISSN | ISBN | Citations |
2159-1962 | 978-1-5386-8298-2 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fouzi Harrage | 1 | 0 | 0.34 |
| AbdulMalik S. Al-Salman | 2 | 141 | 18.35 |
| Alaa Alqahtani | 3 | 0 | 0.34 |