Black lives matter: exploratory analysis of social media disclosures
By: Nanayakkara, A. C
.
Contributor(s): Thennakoon, G. A. D. M.
Publisher: Hyderabad IUP Publications 2022Edition: Vol.18(4), Dec.Description: 47-64p.Subject(s): Computer EngineeringOnline resources: Click here
In:
IUP journal of information technologySummary: Social 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.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
Articles Abstract Database
|
School of Engineering & Technology Archieval Section | Not for loan | 2023-0998 |
Social 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.
Click on an image to view it in the image viewer
There are no comments for this item.