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- W2247472530 abstract "Automated data collection of social networking websites plays an important role in decision making. It is very important to know that the websites like Twitter, Facebook, YouTube, Pin interest, etc. are becoming vital components of social life at present. In any research problem the mass impact on various issues can be analyzed by analyzing the data generated from these websites. Moreover, these social platforms are open and widely used for view sharing. Here various tools and strategies have been evaluated to collect the data from these websites and the analytic perspectives have also been shown. The tools and strategy shared here can prove very helpful for those who opt this open area of research. The capabilities of sentiment analysis extend to the number of real life decisions like health issues in society, or the customer reactions, etc. In this paper data collection techniques have been illustrated with the help of live implementation." @default.
- W2247472530 created "2016-06-24" @default.
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- W2247472530 date "2015-10-01" @default.
- W2247472530 modified "2023-09-27" @default.
- W2247472530 title "Data collection and analytics strategies of social networking websites" @default.
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- W2247472530 doi "https://doi.org/10.1109/icgciot.2015.7380543" @default.
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