GitHub / burhanahmed1 / TwitSpark
Advanced Twitter sentiment analysis pipeline using Apache Spark for distributed data processing, featuring TF-IDF–based feature engineering and stochastic gradient-descent classification for scalable, real-time sentiment insights.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/burhanahmed1%2FTwitSpark
PURL: pkg:github/burhanahmed1/TwitSpark
Stars: 3
Forks: 2
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 1.34 MB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: 2 months ago
Topics: apache-spark, batch-gradient-descent, kmeans-clustering, knearest-neighbor-classification, machine-learning, matplotlib, nltk-python, numpy, pandas, pyspark, python, schotastic-gradient-descent, seaborn, sentiment-analysis, textblob-sentiment-analysis