Applying the Anna Karenina to Yelp reviews

Dockerfile to build docker image with machine learning tools and frameworks.

Similarity Training live

Which Novel Do I Belong To? - Deeplearning (LSTM) on top of Keras (Tensorflow)

Final project for NSS Data Science cohort. Uses NLP against the Spoon River Anthology to determine relationships and groups amongst the characters.

Using deep learning techniques Twitter users were identified as 'suspected' drug addicts and their behavior was predicted.

An implementation of Topic Modeling with Gensim and NLTK

Several wines are analyzed in order to gain insights on what features affect a wine's rating using logistic regressions models, kNN algorithms, topic modeling, LDA, and Gensim models.

使用LDA模型提取n个句子的主题，并统计每个主题出现的频次。LDA model is used to extract the topic of N sentences, and the frequency of each topic is counted.

Реализация командного проекта для "Газпром нефть"

Review of Latent Dirichlet Allocation (LDA) for topic extraction of product reviews for use by product managers. Explores high level overview of LDA, popular libraries, and potential improvements to or over LDA for topic extraction of reviews.

Book Recommendation System to find which books are similar to others based on the content

Finding keywords in news headlines that affect market sentiment, usng 2 different datasets from Kaggle, combine them, attached price data and running Tfidf_Elastic_net

Demo für das Analysieren von Patentschriften. Ähnliche Patentschriften werden gefunden und angezeigt. Damit können zu den Patenten Texte generiert werden. Mehr auf https://www.artikelschreiber.com/

Topic modelling using gensim

Unsupervised Topic Modelling project using Latent Dirichlet Allocation (LDA) on the NeurIPS papers. Built as part of the final project for McGill AI Society's Accelerated Introduction to Machine Learning Course (MAIS 202).

Extractive Text Summarization using Integrated TextRank and BM25+ Algorithm

Uses Beautiful Soup to read Wiki pages, Gensim to summarize, NLTK to process, and extracts keywords based on entropy: everything in one beautiful code. A simple but effective solution to extractive text summarization.

Language of Music - Topic modelling of over 5 million lyrics.

A basic word-embedding model to find best matching students or professors, and recommend the top n results to a specific student