1074 Open source projects that are alternatives of or similar to Doc2vec

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.

Resources for learning about Text Mining and Natural Language Processing

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.

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

📚 Text classification library with Keras

Sentiment Analysis using Stochastic Gradient Descent on 50,000 Movie Reviews Compiled from the IMDB Dataset

NLP Classification Workshop

Text classification meets word embeddings.

Text Classification Algorithms: A Survey

A text analysis application for performing common NLP tasks through a web dashboard interface and an API

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

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

Sarcasm Detection for Sentiment Analysis

Very deep CNN for text classification

Система, анализирующая тональность текстов и высказываний.

Rank 1 / 216

Sentiment Analysis: Deep Bi-LSTM+attention model

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

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

ADAM - A Question Answering System. Inspired from IBM Watson

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

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

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.

Tensorflow implementation of attention mechanism for text classification tasks.

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

中文文本分析工具包（包括- 文本分类 - 文本聚类 - 文本相似性 - 关键词抽取 - 关键短语抽取 - 情感分析 - 文本纠错 - 文本摘要 - 主题关键词-同义词、近义词-事件三元组抽取）

汽车行业用户观点主题及情感识别

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

NLP tutorial

Scripts utilizing Heartex platform to build brand sentiment analysis from the news

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

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

NLP with NLTK for Sentiment analysis amazon Products Reviews

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

Natural language understanding library for chatbots with intent recognition and entity extraction.

Conversational text Analysis using various NLP techniques

A comprehensive tool for linguistic analysis of communities

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

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

Text processing library for sentiment analysis and related tasks

paribhasha.herokuapp.com/

基于在线民宿 UGC 数据的意见挖掘项目，包含数据挖掘和NLP 相关的处理，负责数据采集、主题抽取、情感分析等任务。目的是克服用户打分和评论不一致，实时对在线民宿的满意度评测，包含在线评论采集和情感可视化分析。搭建了百度地图POI查询入口，可以进行自动化的批量查询 POI 信息的功能；构建了基于在线民宿语料的 LDA 自动主题聚类模型，利用主题中心词能找出对应的主题属性字典；以用户打分作为标注，然后 litNlp 自带的字符级 TextCNN 进行情感分析，将情感分类概率分布作为情感趋势，最后通过 POI 热力图的方式对不同地域的民宿满意度进行展示。软件版本请见链接。

An unsupervised analysis combining topic modeling and clustering to preserve an individuals work history and credentials while tailoring their resume towards a new career field

Kaggle Twitter Sentiment Analysis Competition

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

Repository with all what is necessary for sentiment analysis and related areas

Machine Learning (EE 5184) in NTU

Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"

sentiment analysis、文本分类、ALBERT、TextCNN、classification、tensorflow、BERT、CNN、text classification

Association Rule Mining from Spatial Data for Crime Analysis

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

Meta learning with BERT as a learner

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

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network