DocumentCode
707361
Title
Tactics of twitter data extraction for opinion mining
Author
Chatterjee, Ram ; Goyal, Monika
Author_Institution
Dept. of Comput. Sci. & Eng., Manav Rachna Coll. of Eng., Faridabad, India
fYear
2015
fDate
11-13 March 2015
Firstpage
761
Lastpage
766
Abstract
Opinion mining deals with the determination of people´s sentiments over the social web as positive, negative or neutral. Microblogs such as twitter serves as a rich source for opinion mining and sentiment analysis as opinions are shared by millions of users. In our paper, we have analyzed the various methods available through which the twitter data can be extracted. We have provided an overall picture of how each method is different from another for extracting tweets. We have chosen Windows 10 as a keyword to compare the opinions as extracted by different sentiment tools.
Keywords
data mining; information retrieval; social networking (online); Microblogs; Twitter data extraction; opinion mining; people sentiment determination; social Web; Blogs; Cameras; Data mining; Media; Programming; Sentiment analysis; Twitter; APIs; Opinion Mining; Sentiment; Tweet;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location
New Delhi
Print_ISBN
978-9-3805-4415-1
Type
conf
Filename
7100351
Link To Document