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Application for Product Features Extraction and Sentiment Analysis from Online User Reviews
| Content Provider | Semantic Scholar |
|---|---|
| Copyright Year | 2016 |
| Abstract | Based on the existing research results, the product reviews mining technology is applied in the analysis of competitive advantages of mobile phones in this paper. Taking iPhone SE and Galaxy S7 edge as the research objects, first, extract product features from the online reviews by FP-growth algorithm and rank them according to users attention. Subsequently, calculate the sentiment polarity of words. This paper ends with the advantages and disadvantages analysis of the competitive products, as well as the direction to improve. Some enlightenment from this paper to domestic consumer electronics business is expected. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://download.atlantis-press.com/article/25855558.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |