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GitHub / 3ZadeSSG / ContentBased-Movie-Recommendation-using-Sentiment-Analysis
A Hybrid Recommendation model based on sentiment analysis on tweets and item based filtering to closely match preferred recommendation.
Stars: 5
Forks: 3
Open Issues: 1
License: mit
Language: Java
Repo Size: 29.3 MB
Dependencies:
17
Created: almost 5 years ago
Updated: over 1 year ago
Last pushed: almost 2 years ago
Last synced: over 1 year ago
Topics: google-cloud, movie-recommendation, recommendation-engine, recommendation-system, twitter-sentiment-analysis
Files
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Readme
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Dependencies
- androidx.appcompat:appcompat 1.0.2 implementation
- androidx.constraintlayout:constraintlayout 1.1.3 implementation
- androidx.legacy:legacy-support-v4 1.0.0 implementation
- com.github.ybq:Android-SpinKit 1.2.0 implementation
- com.google.android.material:material 1.0.0 implementation
- com.google.firebase:firebase-auth 18.0.0 implementation
- com.google.firebase:firebase-core 16.0.9 implementation
- com.google.firebase:firebase-core 17.0.0 implementation
- junit:junit 4.12 testImplementation