lducc/fpt-comments-sentiment

fpt-comments-sentiment

This is a hand-curated Vietnamese feedback dataset built from FPT-related discussions across Facebook communities, FuOverflow, Reddit/VOZ-style forums, FPT web pages, and other student-community sources. (Inspired by the NEU-ESC dataset)

The data is curated by manually collected examples with Facebook group comments scraped using Playwright, then cleaned, redacted, hand-reviewed, and labeled with support from LLM-assisted review.

Each row contains a redacted comment with two labels: one for sentiment and one for topic. The dataset is intended for Vietnamese sentiment analysis, toxicity detection, and community-topic classification in FPT University contexts.

This dataset is created solely for use within the FPT coursework.

Sources

The data was manually curated from FPT-related public/community sources, including Facebook pages/groups, Reddit, VOZ, FuOverflow, and other FPT-related websites.

Source links include:

• —Facebook group scrape source: https://www.facebook.com/groups/1775830216603784/
• —Đại học FPT Hà Nội Facebook page: https://www.facebook.com/DaihocFPTHaNoi/
• —FuOverflow Community: https://fuoverflow.com/
• —Reddit r/vozforums: https://www.reddit.com/r/vozforums/
• —VOZ forum: https://voz.vn/
• —... (and others)

Raw per-comment URLs, author/profile URLs, post URLs, permalinks, and scrape IDs are not included in the released CSV files.

Data Files

Default splits:

• —data/train.csv
• —data/test.csv

Convenience full export:

• —data/all.csv

Each CSV has:

• —Text
• —Sentiment
• —Classification

Labels

Sentiment:

• —0: Neutral
• —1: Positive
• —2: Negative
• —3: Toxic

Classification:

• —0: Spam
• —1: News
• —2: Academic
• —3: Other
• —4: Service
• —5: Jobs & Recruitment
• —6: Personal Affairs
• —7: Social Affairs
• —8: Help & Share
• —9: Club & Events

Splits

Label Counts

Sentiment:

Classification:

Notes

The text was redacted before export. The CSV files do not include raw author names, profile URLs, post URLs, permalinks, response URLs, or scrape IDs.

Angle-bracket placeholders are used for redaction; starred masks were normalized to context placeholders such as <NAME>.

Toxic labels are intended for targeted abuse, insults, slurs, hostile commands, or similar direct attacks. Profanity alone was not treated as toxic.

Citation

If you use the label schema/protocol inspired by NEU-ESC, please cite:

@misc{mai2025neuesc,
  title = {NEU-ESC: A Comprehensive Vietnamese dataset for Educational Sentiment analysis and topic Classification toward multitask learning},
  author = {Mai, Phan Quoc Hung and Nguyen, Quang Hung and Duong, Phuong Giang and Nguyen, Hong Hanh and Long, Nguyen Tuan},
  year = {2025},
  eprint = {2506.23524},
  archivePrefix = {arXiv},
  primaryClass = {cs.CL},
  doi = {10.48550/arXiv.2506.23524},
  url = {https://arxiv.org/abs/2506.23524}
}