674 Open source projects that are alternatives of or similar to Textclf

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

Sarcasm Detection for Sentiment Analysis

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Matlab library for gradient descent algorithms: Version 1.0.1

Using pre trained word embeddings (Fasttext, Word2Vec)

Exploring the simple sentence similarity measurements using word embeddings

Interactive Visual Machine Learning Demos.

Compact high quality word embeddings for Russian language

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

基于LSTM网络与自注意力机制对中文评论进行细粒度情感分析

LanguageCrunch NLP server docker image

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

Implementation of Hierarchical Attention Networks in PyTorch

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

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

Information Retrieval in High Dimensional Data (class deliverables)

基于新浪微博数据的情感极性分析

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Regression, Scrapers, and Visualization

Python code for common Machine Learning Algorithms

Java version of LIBLINEAR

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

machine learning algorithm

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

100 Days of ML Coding

Service Classification based on Service Description

All about Neural Networks!

Sentiment Analysis & Topic Modeling with Amazon Reviews

Large Data Analysis Course Project

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

ProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.

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

文本分类基准测试

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

Simple machine learning library / 簡單易用的機器學習套件

simple tutorial on Machine Learning with Scikitlearn

Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015

Word Embeddings (e.g. Word2Vec) in Go!

Fast word vectors with little memory usage in Python

经典机器学习算法的极简实现

🏭 JavaScript Machine Learning Toolkit

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

Four word embedding models implemented in Python. Supporting arbitrary context features

finalfusion embeddings in Rust

A fast, efficient universal vector embedding utility package.

Some research experiments

hook msr by amd svm

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt

This script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event