Sentiment Classification of News Headlines on India in the US Newspaper: Semantic Orientation Approach vs Machine Learning. In this project Senetiment analysis on News headline is done using Semantic Oriented Approach and Machine Learning Approch. In Semantic Oriented Approch SentiWordNet Lexicon with WordNet is used to get sentiment score of each synset. In Machine learning algorithm SVM, Random Forest, Naive Bayes, RNN, and LSTM algorithms are used. Dataset for this project is downloaded from UCI machine learning library containing news published in different US newpapers.
-
Notifications
You must be signed in to change notification settings - Fork 0
yash041/Sentiment-Analysis--SOA-vs-ML
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Sentiment Classification of News Headlines on India in the US Newspaper Semantic Orientation Approach vs Machine Learning
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published