Social Media Analysis using R |
Author(s): |
| Sikha Moni Deka , The Oxford College of Engineering; Prof. Sweta Kankumbkar |
Keywords: |
| Social Media, Analysis, Downloads |
Abstract |
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The ability to utilize knowledge} and data from social media sources has become associate additional and additional valuable artefact for informing business, marketing, and different entrepreneurial decisions. The tools and resources accessible to access and analyze such information sources have begun to grow at a speedy rate, but many of these solutions have either too broad or restricted scan in achieving specific goals. A popular and general strategy simply aggregates, organizes, and counts the amount of “mentions†of a nominal topic or subject inside the information. the employment of sentiment analysis has in addition become a daily approach, whereby the “feeling†some specific topic is inferred from a corpus of social media text. Whereas these solutions have self-addressed variety of the supply issues in accessing, method and aggregating the social media information, the analytical aspects area unit restricted. The R computer code provides the power to transfer Twitter connected knowledge, and to be able to plot and analyse it. one among the additional helpful downloadable packages is twitteR. This package permits users to extract info on followers, those following, posts, hash tags, etc. It may be integrated with alternative packages to permit for knowledge image and analysis |
Other Details |
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Paper ID: IJSRDV3I31252 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 2978-2981 |
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