Extracting and Ranking aspects from customers reviews using natural language processing Techniques
Author(s):
B.Rayudu, Dr. P. Sujatha
Keywords:
Customer reviews, Aspect Extraction, Sentiment Analysis, Aspect based Sentiment Analysis, Product Aspects, Aspect Polarities, Abstract Syntax Tree, Pos Tag, Bag of words, Aspect Ranking
Abstract
Now-a-days, shopper’s reviews are playing the most significant role on the society not only for customers but also production companies. A huge amount of customer reviews are available everywhere. These reviews are terribly useful to induce quality information about concern product and its aspects. Here Aspects are the features or components or attributes of a service or product. Aspects play the main role for products sometimes it can decide the product performances and its performance may impact on the product also. This article is proposed Aspect ranking model consisting of three phases i) Extract product aspects ii) Identify aspect sentiments iii) Aspects ranking. This model is useful for both customers and firms. The datasets used for this model are SemEval2014 restaurant, SemEval2014 laptop, Amazon canon G3 camera. The proposed model compared with the counter parts and achieves accurate results.
Article Details
Unique Paper ID: 157081

Publication Volume & Issue: Volume 9, Issue 6

Page(s): 17 - 21
Article Preview & Download


Share This Article

Conference Alert

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

Go To Issue



Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews