aayush210789 / Deception-Detection-on-Amazon-reviews-datasetLinks
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 to build a model that predicted with over 85% accuracy without using any deep learning techniques.
☆55Updated 7 years ago
Alternatives and similar repositories for Deception-Detection-on-Amazon-reviews-dataset
Users that are interested in Deception-Detection-on-Amazon-reviews-dataset are comparing it to the libraries listed below
Sorting:
- The objective of this project is to scrape a corpus of news articles from a set of web pages, pre-process the corpus, and then to apply u…☆49Updated 7 years ago
- Twitter Trends is a web-based application that automatically detects and analyzes emerging topics in real time through hashtags and user …☆109Updated 8 years ago
- A guide for binary class sentiment analysis of tweets.☆95Updated 7 years ago
- Sentiment Analysis & Topic Modeling with Amazon Reviews☆31Updated 8 years ago
- Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.☆98Updated 7 years ago
- ☆211Updated 2 years ago
- Uses topic modeling to identify context between follower relationships of Twitter users☆63Updated 3 months ago
- Segmentation based event detection from Tweets. Published at NAACL SRW 2019☆60Updated last year
- Document clustering using Density Based Spatial Clustering (DBSCAN) [undergrad NLP class project 2015@TU]☆79Updated last year
- This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my…☆325Updated 2 years ago
- Document clustering and topic modelling with Python☆87Updated 7 years ago
- Jupyter Notebook + Python code of twitter sentiment analysis☆112Updated 7 years ago
- Repository for Social network analysis presented in the video link!☆56Updated 7 years ago
- Retrieving 'Topics' (concept) from corpus using (1) Latent Dirichlet Allocation (Genism) for modelling. Perplexity and Coherence score we…☆12Updated 6 years ago
- 16 Text Preprocessing Techniques in Python for Twitter Sentiment Analysis.☆227Updated 6 years ago
- A tutorial for Automatic Text Summarization using TextRank algorithm.☆180Updated 6 years ago
- Dataset for Intagram Fake and Automated Account Detection☆58Updated 5 years ago
- Text clustering with K-means and tf-idf☆32Updated 6 years ago
- Simple Text Classfication using SVM and Naive Bayes☆78Updated 2 years ago
- Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on …☆53Updated 6 years ago
- Predict Big 5 personality traits from text☆168Updated 6 years 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 Classification through CNN, RNN & HAN using Keras☆238Updated 6 years ago
- Kaggle: Quora Insincere Questions Classification - detect toxic content to improve online conversations☆36Updated 6 years ago
- Sarcasm detection on tweets using neural network☆131Updated last year
- Sentiment Analysis using Stochastic Gradient Descent on 50,000 Movie Reviews Compiled from the IMDB Dataset☆62Updated 8 years ago
- Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.☆77Updated 6 years ago
- An end-to-end event extraction and summarization system.☆22Updated 4 years ago
- [AAAI SAP 2020] Modeling Personality with Attentive Networks and Contextual Embeddings☆60Updated 2 years ago
- #Essential Social Informatics techniques #Twitter dataset of Women's March in 2017 #Python codes to collect social media data, and to co…☆41Updated 7 years ago