Title :
Investigation of localized sentiment for a given product by analyzing tweets
Author :
Hridoy, Syed Akib Anwar ; Ekram, M. Tahmid ; Islam, Mohammad Samiul ; Ahmed, Faysal ; Rahman, Rashedur M.
Author_Institution :
Electr. & Comput. Eng. Dept., North South Univ., Dhaka, Bangladesh
fDate :
June 28 2015-July 1 2015
Abstract :
Big data analysis has a huge importance not only to students and researchers but also to small, medium and large businesses. This is mainly due to the fact that big data is almost abundant storage of critical information. Any kind of products and services that people enjoy or do not find very helpful, at least a handful of people around the world will always post about it on social media. In this paper, we have discussed a proper methodology for the utilization and interpretation of twitter data which lead to some interesting insights into the world of public opinions about the iPhone 6. We also included various feature popularities and male-and-female reactions to the product. We found mixed opinions, most of which were consistent with the general comments and opinions expressed by users.
Keywords :
Big Data; data analysis; information analysis; market research; marketing data processing; social networking (online); Big Data analysis; data interpretation; data utilization; feature popularities; information storage; localized sentiment; male-and-female reaction; public opinion; tweets analysis; Batteries; Cameras; Legged locomotion; Data Mining; Natural Language Processing; Rapid Miners; SentiWord; Stanford Natural Language Processing tool;
Conference_Titel :
Computer and Information Science (ICIS), 2015 IEEE/ACIS 14th International Conference on
Conference_Location :
Las Vegas, NV
DOI :
10.1109/ICIS.2015.7166604