Skip to content

For the text Mining course I carried out a project related to the analysis and classification of the reviews of the "UCI ML Drug Review" dataset (link: https://archive.ics.uci.edu/ml/datasets/Drug+Review+Dataset+%28Drugs.com%29). I learned to apply techniques such as bag of words, TF-IDF and build sentiment analysis models through the Bert and V…

Notifications You must be signed in to change notification settings

dariodellamura/Sentiment-Analysis-and-Text-Classification-of-drug-reviews

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Sentiment-Analysis-and-Text-Classification-of-drug-reviews

Text Mining and Search Project: Sentiment Analysis and Text Classification of drug reviews

Authors: Dario Della Mura - David Doci - Sara Filip

Per il corso di Text Mining si è sviluppato un progetto relativo all'analisi e alla classificazione delle recensioni del dataset "UCI ML Drug Review" (link: https://archive.ics.uci.edu/ml/datasets/Drug+Review+Dataset+%28Drugs.com%29). Mediante lo sviluppo del progetto si è potuto apprendere come applicare le tecniche di Bag of Words, TF-IDF e costruire un modello sentiment analysis mediante l'utilizzo dei modelli Bert e Vader.


For the text Mining course I carried out a project related to the analysis and classification of the reviews of the "UCI ML Drug Review" dataset (link: https://archive.ics.uci.edu/ml/datasets/Drug+Review+Dataset+%28Drugs.com%29). I learned to apply techniques such as bag of words, TF-IDF and build sentiment analysis models through the Bert and Vader model.

About

For the text Mining course I carried out a project related to the analysis and classification of the reviews of the "UCI ML Drug Review" dataset (link: https://archive.ics.uci.edu/ml/datasets/Drug+Review+Dataset+%28Drugs.com%29). I learned to apply techniques such as bag of words, TF-IDF and build sentiment analysis models through the Bert and V…

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published