MyAnimeList Reviews with Scores and Tags for Sentiment Analysis

1,490 user reviews from MyAnimeList include scores, spoiler flags, and tags. The dataset likely contains full text for natural language processing tasks. Its origin and update history are unknown.

Use Cases

• Train sentiment classifiers based on user review scores.
• Analyze spoiler usage patterns in anime reviews.
• Develop topic modeling or tag recommendation systems based on user-provided tags.
• Benchmark text generation models on user-generated anime commentary.

Strengths

• 1,490 individual reviews provide a corpus for analysis.
• Multiple attributes per review, including scores, spoiler flags, and tags, are mentioned.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is known, but the total dataset scale is relatively small for some ML tasks.
• Last update date is unknown; freshness unverified.

Provenance

Source

MyAnimeList

Collection Method

User-generated content scraped or collected from the platform.

Time Range

null

Freshness

null

Geography

null