Testing the impact of uncertainty reducing reviews in the prediction of cross domain social media pages ratings

Author:

Jagiripu Indira Priyadarsini,Mishra Pramod K.,Saini Anuj,Biswal Ankit

Abstract

Purpose To test if the factors “reviewer location” and “time frame” have any impact on the prediction results when predicting online product ratings from user reviews. Design/methodology/approach Reviews and ratings are scraped for the product “The Secret” book through Web pages of e-commerce websites like Amazon and Flipkart. Such data is used for training the model to predict ratings of similar products based on reviews data in various other social media platforms like Facebook, Quora and YouTube. After data preprocessing, sentiment analysis is used for opinion classification. A multi-class supervised support vector machine is used for feature classification and predictions. The four models produced in the study have a prediction accuracy of 79%. The data collection is done based on a specific geographical location and specific time frame. Post evaluating the predictions, inferential statistics are used to check for significance. Findings There will be an impact on the ratings predicted from the reviews that belong to a particular geographic location or time frame. The ratings predicted from such reviews help in taking accurate decisions as they are robust and informative. Research limitations/implications This study is confined to a single product and for cross domain social media pages, only Facebook, YouTube and Quora data are considered. Practical implications Provides credible ratings of a product/service on all cross domain social media pages making the initial screening process of purchase decisions better. Originality/value Many studies explored the usefulness of reviews for rating prediction based on review nature. This study aims to identify the usefulness of reviews based on factors that would reduce uncertainty in the purchase process.

Publisher

Emerald

Subject

General Business, Management and Accounting

Reference58 articles.

1. Interactive uncertainty reduction strategies and verbal affection in computer-mediated communication;Communication Research,2012

2. Evaluating hotels rating prediction based on sentiment analysis services;Aslib Journal of Information Management,2015

3. Opinion extraction and classification of real-time YouTube cooking recipes comments,2018

4. Some explorations in initial interaction and beyond: toward a developmental theory of interpersonal communication;Human Communication Research,1974

5. Internet forums as influential sources of consumer information;Journal of Interactive Marketing,2001

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