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 :
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