684 Open source projects that are alternatives of or similar to Vaaku2Vec

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

基于Pytorch和torchtext的自然语言处理深度学习框架。

sequence tagging for NER for ULMFiT

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

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.

Curated list of all NLP Resources

Implementation of ULMFit algorithm for text classification via transfer learning

About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

嵌入Word2vec词向量的CNN中文文本分类

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

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.

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

💫 Industrial-strength Natural Language Processing (NLP) in Python

Jupyter notebooks for Chainer hands-on

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

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

[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach

结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Sarcasm Detection for Sentiment Analysis

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

嵌入Word2vec词向量的RNN+ATTENTION中文文本分类

FastText for Node.js

Cukatify is a music social media project

Text Classification by Convolutional Neural Network in Keras

中文ULMFiT 情感分析 文本分类

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

Indonesian twitter dataset for emotion classification task

Official code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

Fake News Detection in Python

Java interface for fastText

NLP with NLTK for Sentiment analysis amazon Products Reviews

📖 [译] fast.ai 数值线性代数讲义 v2

all kinds of baseline models for long text classificaiton( text categorization)

这是一款基于web的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持文本的迭代标注和实体的嵌套标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验和调整，提高了标注语料的准确率和可靠性。

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

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

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

HDLTex: Hierarchical Deep Learning for Text Classification

A sentiment classifier on mixed language (and mixed script) reviews in Tamil, Malayalam and English

Hierarchical Attention Networks for document classification

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

CNN for Chinese Text Classification in Tensorflow

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

NLP tutorial

Arabic Tokenization Library. It provides many tokenization algorithms.

Exploring the simple sentence similarity measurements using word embeddings

TextCNN Pytorch实现 中文文本分类 情感分析

Text vectorization tool to outperform TFIDF for classification tasks

NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.

A text analyzer which is based on machine learning,statistics and dictionaries that can analyze text. So far, it supports hot word extracting, text classification, part of speech tagging, named entity recognition, chinese word segment, extracting address, synonym, text clustering, word2vec model, edit distance, chinese word segment, sentence similarity,word sentiment tendency, name recognition, idiom recognition, placename recognition, organization recognition, traditional chinese recognition, pinyin transform.

Awesome-Text-Classification Projects,Papers,Tutorial .

Easy, fast clustering of texts

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.