README.md

metadata

license: cc0-1.0
task_categories:
  - text-classification
language:
  - en
tags:
  - finance
pretty_name: /r/CryptoCurrency Daily Comments FinBERT Sentiment Analysis

r/CryptoCurrency daily discussion sentiment (2020-2023)

This repository provides comment-level sentiment scores and daily aggregates derived from daily discussion threads on /r/CryptoCurrency.

Data coverage and sampling

The dataset covers the period from 2020-01-01 to 2023-11-16 (UTC), containing 1344 daily threads/dates (72 days in the full date span are not present).

For each date we store up to 100 comments ranked by comment_rank (1 is the highest-ranked comment). In the cleaned comment-level file the number of retained comments per day varies (median 88, mean 79; min 2, max 100).

Files

• reddit_scored_ids.csv.gz Comment-level dataset without the raw comment text and without user-identifying fields.

• reddit_daily_clean.csv Daily aggregates computed from the deduplicated comment-level file.

Columns (comment-level)

• thread_date: date of the daily thread (UTC, ISO format)
• thread_id: Reddit submission ID for the daily thread
• comment_id: Reddit comment ID
• parent_id: parent identifier (thread or parent comment)
• comment_rank: rank within the day’s thread (1 to 100)
• created_utc: Unix timestamp (seconds, UTC)
• score: Reddit comment score at the time of collection
• pos_prob, neg_prob, neu_prob: sentiment probabilities (sum to 1)
• sentiment_score: pos_prob - neg_prob
• dominant_label: argmax of the three sentiment probabilities
• body (text file only): comment text
• body_is_deleted_or_removed (text file only): 1 if body is [deleted] or [removed]

Daily aggregates

reddit_daily_dedup.csv contains one row per date with:

• n_comments
• mean_pos_prob, mean_neg_prob, mean_neu_prob
• mean_sentiment_score
• share_pos_dominant, share_neg_dominant, share_neu_dominant
• net_daily_sentiment (equal to mean_sentiment_score)

Cleaning notes

The raw export contained duplicate comment_id rows; the cleaned exports keep one row per comment_id. A small number of malformed lines in the raw CSV were discarded during parsing.