مجلة الإستراتيجية والتنمية
Volume 11, Numéro 1, Pages 447-461
2021-01-01
Authors : Balouli Houssame Eddine . Chine Lazhar .
This study aims to analyze the sentiments of social networking platform Twitter users using the programming language R about famous mobile phones brands. Using different packages of the R programming language, 600 tweets were obtained from Twitter users around the world randomly about mobile phones brands: Nokia, Oppo, Samsung, Apple, Huawei and LG (100 tweets per brand). After that, tweets are filtered from special characters, numbers, repeated words, as well as any other type of data. As a first stage, we create and analyze the word cloud for each brand. The final step is to create graphs of the feelings of the tweeters that are divided into five categories: anger, loathing, joy, surprise, and positivity. As a result, sentiment analysis allows us to realize a market segmentation to mobile phone market.
Sentiment Analysis ; Mobile phone ; Twitter ; R programming language
بوسالم أحلام
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عابد يوسف
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ص 117-132.
Yahia Zeghoudi
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pages 74-88.
Karima Bekouche
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Mohamed Cherfaoui
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Halima Saadia Korichi
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pages 631-643.
Boudaoud Hamida
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Bouziane Hacene
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Boulekroune Radia
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pages 35-52.
Said Houari Amel
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pages 257-268.