🍰 A library for creating n-grams, skip-grams, bag of words, bag of n-grams, bag of skip-grams.
-
Updated
Aug 21, 2017 - JavaScript
🍰 A library for creating n-grams, skip-grams, bag of words, bag of n-grams, bag of skip-grams.
This repo has bag of words, string match & fingerprinting algorithms written in Java language.
Notebooks to tackle the Kaggle Spooky Author competition. The challenge is to accurately identify the author from their sentences.
This project is to perform some tasks that are commonly used in Natural Language Processing. This includes design of the shiny app to analyze the Toyota Camry car reviews. The reviews are available online and it will be programmatically downloaded and their sentiment score will be predicted.
Clustering news documents using bag of words model to classify documents
Classify comments on categories - "Toxic", "Severe Toxic", "Obscene", "Threat", "Insult", "Identity Hate", "Any of the Above", "None of the Above".
Trained and optimized a Classification Machine Learning model to predict the grammatical flow of email using state of the art techniques : 1. Word2Vec 2. tf-idf 3. bag-of-words. The models used include Logistic Regression and Support Vector Mechanics with 250-300 features.
Different takes at creating a content based movie recommendation system using MovieLens dataset. One approach focuses on finding the correlation between different attributes to recommend movie. Another approach make use of the bag of word model along with machine learning algorithms.
Sentiment analysis of tweets to detect negative tweets.
Tokenization, Stemming, Lemmatization, Bag of words, TF-IDF
VIP Machine Learning Exercises and Practices
Distinguish fake news from real news using Bag of Words, TF-IDF and Word2Vec with Naive Bayes and Logistic Regression classifiers. Also used the feature enrichment concept of Machine Learning to analyze how the output changes.
Project it is implement a model for a simple sentiment analysis, using Spark, HDFS and Scala/Java
📷 Generates Text Analytics using Bag of Words. Upload your data and it will suggest the relevant Newsgroups for you.
Using NLP to determine user review polarity on Amazon.
Using NLP or prediction of stack overflow posts using linear models for multi-class classification
Computer Vision multilabel classification with different techniques: (KNN,PCA,LDA,BOVW,SIFT,VGG16)
Add a description, image, and links to the bagofwords topic page so that developers can more easily learn about it.
To associate your repository with the bagofwords topic, visit your repo's landing page and select "manage topics."