| 000 | a | ||
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| 999 |
_c19626 _d19626 |
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| 003 | OSt | ||
| 005 | 20230713103852.0 | ||
| 008 | 230713b xxu||||| |||| 00| 0 eng d | ||
| 040 |
_aAIKTC-KRRC _cAIKTC-KRRC |
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| 100 |
_921355 _aNanayakkara, A. C. |
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| 245 | _aBlack lives matter: exploratory analysis of social media disclosures | ||
| 250 | _aVol.18(4), Dec | ||
| 260 |
_aHyderabad _bIUP Publications _c2022 |
||
| 300 | _a47-64p. | ||
| 520 | _aSocial media has become a contemporary platform for vox populi, enriched with the facilities of almost unrestricted access and versatility in terms of time and location of the users. The behaviors of social media users are creating a plethora of data, and is a fertile ground for Exploratory Data Analysis (EDA), which enables users to discover the veiled story within the datasets often using visual methods. This study focuses on the tragic incident of George Floyd's death that took place on May 25, 2020, in Minneapolis, Minnesota, US, in terms of the social media responses by analyzing the corpus of comments for a selected YouTube video. Python programming language has been used to implement the EDA process using the methods of Text statistics analysis, Sentiment analysis, Ngram exploration, Topic modeling, Parts of Speech (POS) tagging, Word cloud formation, Named Entity Recognition (NER) and Text complexity analysis. By exploring the video disclosure with relevant tools, the study provides insights on the netizens, their behavior and their influence on society. This endeavor will help in preventing the manipulation of public opinion. | ||
| 650 | 0 |
_94622 _aComputer Engineering |
|
| 700 |
_921356 _aThennakoon, G. A. D. M. |
||
| 773 | 0 |
_tIUP journal of information technology _x0973-2896 _dHyderabad IUP Publications |
|
| 856 |
_uhttps://iupindia.in/1222/Information%20Technology/Black_Lives.asp _yClick here |
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| 942 |
_2ddc _cAR |
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