ssrivas / fake-review-detection
☆12Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for fake-review-detection
- A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)☆81Updated 6 years ago
- Text Classification through CNN, RNN & HAN using Keras☆238Updated 5 years ago
- Kaggle: Quora Insincere Questions Classification - detect toxic content to improve online conversations☆36Updated 5 years ago
- Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0☆117Updated 3 years ago
- Feature-Based Sentiment Analysis in Python☆59Updated 10 years ago
- Long(er) text representation and classification using Doc2Vec embeddings☆105Updated 5 months ago
- The projects takes a number of movie reviews from http://www.cs.cornell.edu/people/pabo/movie-review-data/ (polarity dataset v2.0 and an …☆10Updated 11 years ago
- Document clustering and topic modelling with Python☆86Updated 6 years ago
- This repository contains the implementation of paper "Hierarchical Attentional Hybrid Neural Networks for Document Classification"☆59Updated 3 years ago
- Document clustering using Density Based Spatial Clustering (DBSCAN) [undergrad NLP class project 2015@TU]☆79Updated 3 months ago
- Extracting all the features of a product from its reviews, giving every feature a score (depending on the user reviews) and also ranking …☆46Updated 4 years ago
- Text Generation using Bidirectional LSTM and Doc2Vec models☆63Updated 5 years ago
- Keras implementation of Character-level CNN for Text Classification☆58Updated 6 years ago
- Deceptive Spam Review Detection with Convolutional Neural Network in Tensorflow☆37Updated 7 years ago
- Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.☆94Updated 6 years ago
- Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on …☆52Updated 5 years ago
- A very simple, bare-bones, inefficient, implementation of skip-gram word2vec from scratch with Python☆102Updated 5 years ago
- Sarcasm detection on tweets using neural network☆128Updated 11 months ago
- Anomaly detection system for medical insurance claims data☆14Updated 7 years ago
- The implementation of text classification using character level convoultion neural networks using Keras☆152Updated last year
- Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.☆74Updated 5 years ago
- Using Deep Learning Neural Networks to classify reviews of movie dataset to Positive and Negative Sentiment☆17Updated 7 years ago
- My Bachelor's Thesis Project Code☆16Updated 9 years ago
- CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging☆104Updated 5 years ago
- Applying NLP transfer learning techniques to predict Tweet stance toward a topic☆107Updated 5 years ago
- Topic Modeling with Non-Negative Matrix Factorization (NMF)☆12Updated 5 years ago
- A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set …☆51Updated 6 years ago
- Extractive Text Summarization in Python☆20Updated 6 years ago
- Emotion Detection using CNN and LSTM☆20Updated 7 years ago
- An example of a sentiment analysis program, used on the IMDB movie review dataset. The program uses the Keras deep learning library. Fi…☆23Updated 7 years ago