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Bollywood Protest Sentiment Dataset
Entertainment & Media Consumption
Tags and Keywords
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Free
About
This dataset has been compiled to provide insights into the recent #BoycottBollywood trends observed on Twitter. It offers valuable data for analysts and researchers aiming to understand social media sentiment and online movements related to the Indian entertainment industry. The dataset is particularly suited for Natural Language Processing (NLP) projects, enabling the analysis of text-based social media content.
Columns
The dataset is structured with four key columns in each file:
- #: An index number for each entry.
- Date: The date and time when the tweet was posted.
- User: The username of the individual who posted the tweet.
- Tweet: The full text content of the tweet itself.
Distribution
The dataset is provided in CSV file format. Currently, it consists of five individual CSV files. The content of these files is scheduled for monthly or quarterly updates to ensure continued relevance and currency. While specific row counts per file are not detailed, the total number of records across the dataset appears to be approximately 41,796.
Usage
This dataset is an ideal resource for various applications, including:
- Natural Language Processing (NLP) projects, such as sentiment analysis, topic modelling, and text classification.
- Social media trend analysis, particularly for understanding public opinion and protest movements related to the Bollywood industry.
- Research into online activism and its impact on cultural sectors in India.
- Social listening and monitoring of public discourse surrounding entertainment and media consumption.
Coverage
The dataset primarily covers social media activity, specifically tweets, originating from India. The time range of the tweets included spans from August 2022 to September 2022, with observations from 1st August 2022 to 20th September 2022. The data reflects the collective activity of Twitter users engaging with the #BoycottBollywood trend during this period.
License
CC0
Who Can Use It
This dataset is particularly beneficial for:
- Data scientists and NLP engineers seeking real-world text data for model training and research.
- Social media strategists and marketing professionals interested in understanding consumer sentiment and brand perception in the Indian entertainment sector.
- Academic researchers studying social movements, digital humanities, or media studies in the context of India.
- Journalists and media analysts investigating public reactions and online discourse surrounding major cultural industries.
Dataset Name Suggestions
- Bollywood Boycott Twitter Data
- Indian Film Industry Social Media Trends
- #BoycottBollywood Tweets Analysis
- Bollywood Protest Sentiment Dataset
Attributes
Original Data Source: BoycottBollywood tweets dataset
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