PulseStream_Real-Time-Social-Media-Sentiment-Intelligence YOUSSEF-BT · PARTIAL
A Big Data project focused on tweet sentiment analysis, leveraging NLP techniques to process large volumes of social media data and classify sentiments. The project includes data preprocessing, analysis, and machine learning-based sentiment classification.
github.com/YOUSSEF-BT/PulseStream_Real-Time-Social-Media-Sentiment-Intelligence · ★ 5 · Forks 0 · Size 364 KB
SUMMARY
Technologies 12
Scored 11
Observed 11
Practices 6
Evidence 13
Skips 1
COVERAGE
Analyzed 56 files · 27 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
2 files · PRODUCTION
JSON LANGUAGE Depth 70
7 files · PRODUCTION
Markdown LANGUAGE Depth 70
6 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
28 files · PRODUCTION
JavaScript LANGUAGE Depth 70
2 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Apache Kafka MESSAGE_BROKER Depth 96
6 files · CONFIGURATION, PRODUCTION
MongoDB DATABASE Depth 77
6 files · CONFIGURATION
Requests LIBRARY Depth 52
1 files · PRODUCTION
pandas LIBRARY Depth 81
11 files · PRODUCTION, TEST
python-dotenv LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-01-25
Last commit 2026-08-13
Active months 4
Commits 27