[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

Text Mining in Python

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

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.

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

The Python Code Tutorials

Repo for Applied Text Mining in Python (coursera) by University of Michigan

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

CNN for intent classification task in a Chatbot

Text Classification through CNN, RNN & HAN using Keras

BERT for Multitask Learning

Educational material on using the TensorFlow Estimator framework for text classification

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

A list of NLP(Natural Language Processing) tutorials

Your Advanced Twitter stalking tool

offical seesawfacenet pytorch implement, https://arxiv.org/abs/1908.09124

Simple BitMEX trading robot.