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:
- A guide for binary class sentiment analysis of tweets.☆94Updated 7 years ago
- ☆211Updated 2 years ago
- Jupyter Notebook + Python code of twitter sentiment analysis☆112Updated 7 years ago
- 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 8 years ago
- Sentiment Analysis & Topic Modeling with Amazon Reviews☆31Updated 8 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
- Multi Text Classificaiton☆92Updated 6 years ago
- Retrieving 'Topics' (concept) from corpus using (1) Latent Dirichlet Allocation (Genism) for modelling. Perplexity and Coherence score we…☆12Updated 6 years ago
- Implementation of TF-IDF from scratch in Python☆107Updated 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
- Text clustering with K-means and tf-idf☆32Updated 6 years ago
- Repository for Social network analysis presented in the video link!☆56Updated 7 years ago
- Train unsupervised LDA Topic Model on raw Yelp review text, use topic distributions as feature inputs to supervised classifier of review …☆75Updated 6 years ago
- Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.☆77Updated 6 years ago
- Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.☆99Updated 7 years ago
- In this notebook, we will build an abstractive based text summarizer using deep learning from the scratch in python using keras☆210Updated 3 years ago
- Uses topic modeling to identify context between follower relationships of Twitter users☆63Updated 4 months ago
- Sentiment analysis with SentiWordNet 3.0☆44Updated 9 years ago
- Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.☆75Updated 6 years ago
- Dataset for Intagram Fake and Automated Account Detection☆59Updated 5 years ago
- Sample of Python codes from mathematical problems☆110Updated 6 years ago
- Resources for learning about Text Mining and Natural Language Processing☆586Updated 2 years ago
- Document clustering using Density Based Spatial Clustering (DBSCAN) [undergrad NLP class project 2015@TU]☆79Updated last year
- data preparation☆90Updated 7 years ago
- Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html☆249Updated 7 years ago
- Sarcasm detection on tweets using neural network☆132Updated last year
- A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.☆63Updated 8 years ago
- word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, …☆560Updated 4 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