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Bangla Entertainment Sentiment Data
Entertainment & Media Consumption
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset is designed for sentiment analysis in the Bangla language, providing valuable insights into audience reactions to Bangla movies and dramas. It serves to help understand user preferences and identify trends within the Bangla entertainment industry.
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Columns
- Movie ID: An identifier for the specific movie, as seen in the original data sample [1, 2].
- Movie Title: The title of the movie being reviewed [1].
- Genre: The cinematic genre of the movie [1].
- Label: The assigned sentiment category for each comment. This includes three categories: Like (indicating positive sentiment), Dislike (indicating negative sentiment), and Neutral (indicating neither positive nor negative sentiment) [3, 4].
- Comment: The user-generated Bangla-language text from movie and drama discussions [3, 4].
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Distribution
The dataset consists of a total of 9,500 comments [4]. These comments are sourced from various online platforms: 6,000 comments were manually curated from Facebook movie groups and Bangladeshi movie review websites, while 3,500 comments were collected from YouTube and include metadata such as authorship and timestamps [4]. The content is entirely in the Bangla language [3, 4]. The data is likely in a tabular format, suggested by the structure of the comments and labels, and a CSV file is mentioned [5]. -
Usage
This dataset is highly suitable for:- Conducting sentiment analysis in the Bangla language [3, 4].
- Developing systems to analyse audience preferences for entertainment content [4].
- Identifying trends in user sentiment towards movies and dramas [4].
- Training and evaluating sentiment analysis models, particularly those focused on the Bangla language [4].
- Facilitating linguistic research [4].
- Supporting audience behaviour analysis [4].
- Aiding in the development of recommendation systems for the Bangla entertainment industry [4].
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Coverage
The dataset primarily covers Bangla-language comments from audiences, likely concentrated within Bangladesh given the mention of Bangladeshi movie review websites [3]. The content focuses on Bangla movies and dramas, with examples including "Chironjeeb Mujib" (Drama), "Aynabaji" (Thriller), "Toofan", and "Hawa" [1, 2]. The genres represented include Romantic and Action, among others [1]. A specific time range for data collection is not detailed in the provided sources. -
License
**CC BY-SA -
Who Can Use It
This dataset is ideal for:- AI and Machine Learning practitioners interested in developing and evaluating sentiment analysis models for Bangla text.
- Linguistic researchers studying sentiment expression and natural language processing in Bangla.
- Market analysts and researchers seeking to understand audience preferences and trends in the Bangla entertainment sector.
- Software developers aiming to build recommendation systems or audience feedback analysis tools for Bangla media.
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Dataset Name Suggestions
- Bangla Movie Sentiment Comments
- Bangla Entertainment Sentiment Data
- Bangla Film Audience Reactions
- Bengali Movie & Drama Sentiment
- Bangla User Review Sentiment
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Attributes
Original Data Source: Bangla Movie, Drama Comments Sentiment Dataset 9K
QUALITY