Three Machine Learning models - Logistic Regression, Support Vector Machines and Neural Networks were compared for sentiment analysis using two feature development models: First a bag of word Model was used, then a Word Embedding Model (Glove representation). The idea was to be able to determine whether a review was good or bad from the sentence structure for each review.
-
Notifications
You must be signed in to change notification settings - Fork 0
Qunlexie/Machine-Learning-for-Sentiment-Analysis
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Machine Learning and Natural Language Processing for Sentiment Analysis
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published