Reputation Measurement based on a Hybrid Sentiment Analysis Approach for Saudi Telecom Companies

Abstract

Thousands of active people on social media daily share their thoughts and opinions about different subjects and different issues. Many social media platforms used to express the feeling or opinion and at top of it is Twitter. On Twitter, many opinions are expressed in many fields such as movies, events, products, and services; this data considered a valuable resource for companies and decision-makers to help in making decisions. This study was based on using a hybrid approach to extract the opinions from an Arabic tweet to measuring service providers' reputation. In this study, the Saudi telecom companies used as a case study. This research concentrates on determining peoples' opinions more accurately by utilizing the Retweet and Favorite. The number resulting from positive and negative tweets after applying the polarity equation was used to estimate reputation scores. The result indicated that the STC company represents a high reputation compared to other companies. The proposed approach shows promising results to expand existing knowledge of sentiment analysis in the domain of measure reputation.

Measurement and prediction of the international reputation of Chinese women’s apparel and accessories

“…Lande et al 11 proposed an index of an author's reputation, which is generated by calculating the total citation numbers and the Hirsch index on Wikipedia and encyclopedias. Abdullah et al 12 used a hybrid approach to extract opinions from Arabic tweets to measure service providers' reputation by applying the number resulting from positive and negative tweets in the polarity equation to estimate reputation scores. Besides, the reputation can be measured through proposing comprehensive models when the object domain is complex.…”

“…Abdullah et al. 12 used a hybrid approach to extract opinions from Arabic tweets to measure service providers’ reputation by applying the number resulting from positive and negative tweets in the polarity equation to estimate reputation scores. Besides, the reputation can be measured through proposing comprehensive models when the object domain is complex.…”