1185 Open source projects that are alternatives of or similar to textlytics

IPython widgets, interactive plots, interactive machine learning

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"

An implementation of multivariate projection pursuit regression and univariate classification

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

Python Machine Learning Algorithms

A collection of all projects pertaining to different layers in the SDC software stack

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

🍊 📊 💡 Orange: Interactive data analysis

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

PHP-ML - Machine Learning library for PHP

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Machine Learning Course @ Santa Clara University

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Predicting forex binary options using time series data and machine learning

An Interactive Approach to Understanding Deep Learning with Keras

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

NLP tutorial

Sentiment Analysis: Deep Bi-LSTM+attention model

Sentiment Strength Detection in Bahasa Indonesia

Rank 1 / 216

Clasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Vectorized Machine Learning in Python 🐍 From Scratch

R wrapper for fastText

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

XED multilingual emotion datasets

Conversational text Analysis using various NLP techniques

A scikit-learn based module for multi-label et. al. classification

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

Sentiment analysis and opinion mining of Reddit data.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Deep Learning using Rectified Linear Units (ReLU)

Arabic support for textblob

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

📓 Long(er) text representation and classification using Doc2Vec embeddings

Machine learning based text classification in JavaScript using n-grams and cosine similarity

Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow

Aspect Based Sentiment Analysis using End-to-End Memory Networks

Opinion Mining/Sentiment Analysis Classifier using Genetic Programming

Word semantics Deep Learning with Vanilla Python, Keras, Theano, TensorFlow, PyTorch

Text classification meets word embeddings.

An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification

A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.

Material for the MASH course on introduction to scikit-learn

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"

My workshop on machine learning using python language to implement different algorithms

使用Python进行自然语言处理相关实践，如新词发现，主题模型，隐马尔模型词性标注，Word2Vec，情感分析

Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

Extremely simple and fast extreme multi-class and multi-label classifiers.