This is a Movie Recommender System built using Streamlit and Python. It recommends similar movies based on user input and displays movie details.
-
Updated
Sep 11, 2023 - Jupyter Notebook
This is a Movie Recommender System built using Streamlit and Python. It recommends similar movies based on user input and displays movie details.
snowball_stemmers_rs: a Snowball stemmer in 38 languages, in Rust
Extracted users' reviews from Amazon.com and performed sentiment analysis to determine which console to purchase
natural language processing techniques applied on hotel review dataset
Web scraping involves extracting data from websites. Text processing techniques like tokenization, stemming, lemmatization, and removing stopwords refine raw text for analysis.
JavaScript AI that uses Jaro-Winkler similarity matrix by PorterStemmer with a QRNG Array Index.
I used CountVectorizer to convert movie data into vectors, Cosine Similarity to find similar movies, and PorterStemmer to clean the text data for better accuracy in recommendations.
Developed a text classification model to classify SMS as spam or nonspam using Python.
Revolutionize your movie choices with our intelligent Movie Recommendation System, providing personalized suggestions for an unparalleled cinematic experience.
Implementation of the PorterStemmer algorithm uploaded to Maven
Restrictions on sharing as advised by DataCamp
A native Go implementation of the Porter Stemmer Algorithm for the italian language.
Amazon reviews Sentiment Analysis
To associate your repository with the porterstemmer topic, visit your repo's landing page and select "manage topics."