bag-of-words
There are 627 repositories under bag-of-words topic.
SerayBeser/Natural-Language-Processing-with-Python
Natural Language Processing with Python, Python ile Dogal Dil Isleme
docongminh/Classification-SIFT-SVM
Build a classifier to classify transport using sift and svm
GeorgesAlkhouri/l3wtransformer
A word hashing method based on vectors of letter n-grams. Currently transforms text into sequences of numbers.
sharmaroshan/Amazon-Alexa-Reviews
Using Natural Language Processing, Data Visualizations and Classification Algorithms of Machine Learning
VipinJain1/VIP-Machine-Learning-Exercises-and-Practices
VIP Machine Learning Exercises and Practices
wzppengpeng/insb
instance search of bow model framework(ins bagger)
aapetukhov/Spam-Messages-Detection
Project building ML & DL models to detect spam messages.
data-datum/nlp_resources
Resources related to NLP
hotaki-lab/Product-Review-Sentiment-Analysis
The goal of this project is to design a classifier to use for sentiment analysis of product reviews. Our training set consists of reviews written by Amazon customers for various food products. The reviews, originally given on a 5 point scale, have been adjusted to a +1 or -1 scale, representing a positive or negative review, respectively.
ishalyminov/bag_of_words_classification
An experiment on text classification entirely based on word frequencies
Sitaras/Data-Mining
Project 1: 🎬🍿 Movie-Recommendation-System, Project 2: 📰🔍Fake News Detection System
Slaski/Sentiment-Analysis-with-Andrew-Trask
Project on how to predict sentiment on movies review lectured by Andrew Trask.
a-bailly/dbotsw
Dense Bag-of-Temporal-SIFT-Words
advaitsave/Text-preprocessing-and-classification
IMDB Movie Reviews - Text preprocessing and classification. Includes BOW model, TF_IDF, VADER entiment analysis, Topic Modelling using Latent Dirichlet Allocation and Word Embeddings. (Python)
hiteshvaidya/sentiment_analysis
Sentiment analysis on mobile phone reviews on amazon.
meet5398/NLP-Natural-Language-Processing-
This repository is a collection of six minor projects focused on Natural Language Processing (NLP) along with relevant datasets. The projects are designed to help individuals gain a better understanding of NLP by applying concepts to real-world problems. Additionally, the repository includes a file that provides a comprehensive overview of NLP .
sharmaroshan/Employee-Reviews
This is Project which contains Data Visualization, EDA, Machine Learning Modelling for Checking the Sentiments.
srogatch/TextMatching
Find similar text files in a repository and sort by similarity
Tejas-TA/Transformer-BERT-SMS-Spam-Detection
Spam SMS Detection Project implemented using NLP & Transformers. DistilBERT - a hugging face Transformer model for text classification is used to fine-tune to best suit data to achieve the best results. Multinomial Naive Bayes achieved an F1 score of 0.94, the model was deployed on the Flask server. Application deployed in Google Cloud Platform
chlaudiah/Sentiment-Classification-FD-Reviews
Text Classification for Sentiment Analysis using Female Daily's Reviews Dataset
Elysian01/AI-Chatbot
Python library for building custom AI chatbot with just one line of code.
LeoFuchs/SeSG
:bookmark_tabs: SeSG (Search String Generator): A approach that uses text mining to build search strings for secondary studies.
lucaspetry/news-similarity
Source code for the paper "Mining Journals to the Ground: An Exploratory Analysis of Newspaper Articles"
nano-bot01/SMS-Spam-Classifier-Web-App-using-Machine-Learning
SMS Spam Classifier Web Application which is used to classify spam and ham in text messages we receive in phones
sharmaroshan/Coursera-Reviews-Analysis
It is a Natural Language Processing Problem where we have to decide the sentiments of the users who reviewed the course. and then classifying the reviews into positive and negative.
soroosh-rz/Natural-Language-Processing
Natural Language Processing
OnlyChristmas/SMP-ETST-2018
SMP_ETST 2018 christmas
rkc007/Automated-Content-Grading-Using-Machine-Learning
Automated Content Grading Using Machine Learning
saikatbsk/bagOfFeatures
Bag-of-Features model for image classification (Octave)
Shwetago/Sentiment_Analysis
Twitter Sentiment Analysis - Classifying positive, negative and neutral tweets
Vishwa22/Multi-Label-Text-Classification
A text can be assigned more than one label
zoobereq/clickbait_detector
A Naive Bayes classifier to detect clickbait headlines
Sameeksharajsb/20-Newsgroup-Dataset-Analysis
An NLP project that compares different approaches to document representation and classification. The techniques used include Topic-modeling, Tf-Idf, doc2vec, SVM, and CNN
spChalk/Vaccine-Sentiment-Classifier
:syringe: Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.