ayush-jain / hotel_recommender_systemLinks
A hotel recommender system in python using hybrid approach of content based and collaborative filtering of hotel reviews by a user. Text Mining done using NLTK library and chi-square feature selection using sklearn. User profile was generated using an ensemble classifier.
☆16Updated 10 years ago
Alternatives and similar repositories for hotel_recommender_system
Users that are interested in hotel_recommender_system are comparing it to the libraries listed below
Sorting:
- Brand disambiguator for tweets to differentiate e.g. Orange vs orange (brand vs foodstuff), using NLTK and scikit-learn☆57Updated 12 years ago
- Extract opionion phrases from user reviews☆63Updated 10 years ago
- Recommendation engine based on contextual word embeddings☆136Updated 8 years ago
- Topic modeling with gensim and LDA☆168Updated 8 years ago
- Recommender System Framework☆125Updated 8 years ago
- iCQA - Intelligent Community Question Answering Framework☆31Updated 8 years ago
- Implementation of Collabrative Filtering way of recommendation engine☆83Updated 2 years ago
- Towards A Standardized Tag Recommender Benchmarking Framework☆127Updated 2 years ago
- Content based Recommender System which implements sentiment analysis(Naive Bayes,SVMs) on Amazon product reviews. Built in Python(Beautif…☆10Updated 10 years ago
- Film recommendations with Apache Spark and Python☆61Updated 10 years ago
- Sentiment analysis and aspect classification for hotel reviews using machine learning models with MonkeyLearn.☆269Updated 7 years ago
- Zipfian capstone project - Dan Morris☆30Updated 7 years ago
- Collection of functions and scripts for text retrieval in Python: Document collection preprocessing, Feature Selection, Indexing, Query p…☆43Updated 12 years ago
- Feature-Based Sentiment Analysis in Python☆59Updated 11 years ago
- Word2Vec models with Twitter data using Spark. Blog:☆65Updated 6 years ago
- Latent Dirichlet Allocation with Gibbs sampling☆16Updated 11 years ago
- Repo for the Insults Detection challenge on Kaggle.com☆11Updated 12 years ago
- A news recommendation system tailored for user communities☆206Updated 8 years ago
- Recommender Systems in Depth: An introduction to Recommender Systems using Python and Crab☆43Updated 11 years ago
- Different approaches to computing document similarity☆28Updated 8 years ago
- Instructions & code for the EuroPython 2014 training session "Topic Modeling for Fun and Profit"☆110Updated 11 years ago
- Python program to analyze resume (word document) using a generated set of keywords☆15Updated 9 years ago
- Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world…☆127Updated 11 years ago
- Topic models (just LDA for now) on the Hacker News corpus☆22Updated 10 years ago
- Simple practice for text classification using Python☆57Updated 10 years ago
- Code for NLTK3 Cookbook☆141Updated 9 years ago
- Builds a recommender system using TensorFlow☆86Updated 8 years ago
- Java implementation of Gibbs sampling for Topic Expertise Model published in CIKM'13☆11Updated 7 years ago
- This repo holds the code for the 10th place entry in the 2014 WISE/Greek Media Multi-label Classification competition hosted on Kaggle.☆13Updated 10 years ago
- word count of large file using prefix tree and parallel python processes☆18Updated 11 years ago