Multilingual Modal Sense Classification using a Convolutional Neural Network

👣Sentiment Analysis using some CNN models👣

Given a title, machine learning model will guess which subreddit it fits best in. Based on https://github.com/dennybritz/cnn-text-classification-tf

运用cnn + highway network网络结构中文文本分类

Implementation of Sentence Classification using Char level CNN and RNN

mobile speech text classify using CNN and LSTM with pytorch.

CNNs for Sentence Classification in PyTorch

Chinese-Text-Classification，Tensorflow CNN（卷积神经网络）实现的中文文本分类。QQ群：522785813，微信群二维码：http://www.tensorflownews.com/

semantic analysis using word2vector, doc2vector,lstm and other method. mainly for text similarity analysis.

simple CNN text classification with Keras

pyTorch-text-classification

A Chainer implementation of a Convolutional Network model for relation classification in the SemEval Task 8 dataset. This model performs Multi-Way Classification of Semantic Relations Between Pairs of Nominals in the SemEval 2010 task 8 dataset.

Sentiment analysis Convolutional Neural Network with Keras Functional API on IMDb dataset using GloVe pretrained word embeddings

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。

A library of tensorflow text classifiers, making it easy to flexibly reuse classifiers without rewriting a bunch of code

reproduce CNN of kim, 2014 on pytorch

Word Embedding + Convolutional Neural Network (CNN) Model for Twitter Sentiment Analysis