reddit-dataset

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

Extreme Extractive Text Summarization and Topic Modeling (using LSA and LDA techniques) over Reddit Posts from TLDRHQ dataset.

Data Engineering Project @ Insight Data Science

A sample dataset of over 1000 Reddit posts , extracted using the Bright Data API, ideal for sentiment analysis, consumer monitoring, trend identification, and competitor analysis.

K-means image/video data clustering via. MapReduce using Apache Spark. SOFTENG751 High Performance Computing (A+)

Social network analysis of the r/InvestmentClub subreddit, studying user influence, community structure, and engagement behavior using graph theory and time-series insights.

Bright Data API를 사용하여 추출한 1000개 이상의 Reddit 게시물 샘플 データセット로, 감성 분석, 소비자 모니터링, 트렌드 식별 및 경쟁사 분석에 이상적입니다.

Bright Data API を使用して抽出した 1000 件以上の Reddit 投稿のサンプルデータセットです。感情分析、消費者モニタリング、トレンドの特定、競合分析に最適です。

Token Encoding on a Distributed Blockchain System for Improving the Security of Neural Networks

🤷👍👎 Extracting organization names using Named Entity Recognition (NER) and performing Sentiment Analysis on their Reddit posts.

Ein Beispieldatensatz mit über 1000 Reddit-Posts, extrahiert mit der Bright Data API, ideal für Sentiment-Analyse, Verbrauchermonitoring, Trendidentifikation und Wettbewerbsanalyse.

Our primary goal was to put in the work to form a local dataset for STS members to analyse and learn from the countless rebuttals to uniquely flawed trading logic. The public version of the dataset will be published here and on medium for all to download and process. The proprietary set with >500k chars context is for private members only.