1465 Open source projects that are alternatives of or similar to Product-Categorization-NLP

BERT, LDA, and TFIDF based keyword extraction in Python

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.

document embedding and machine learning script for beginners

A Framework for Textual Entailment based Zero Shot text classification

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…

Uses topic modeling to identify context between follower relationships of Twitter users

Easy text classification for everyone : Bert based models via Huggingface transformers (KR / EN)

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.

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

Topic Modelling for Humans

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.

FastText for Node.js

EVE bot, a customer service chatbot to enhance virtual engagement for Twitter Apple Support

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

Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)

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

NLP with NLTK for Sentiment analysis amazon Products Reviews

Language Modeling and Text Classification in Malayalam Language using ULMFiT

a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.

Topic modelling on financial news with Natural Language Processing

Statistical and Semantical Text Summarizer in Persian Language

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

Scripts demo-ing how to train a Word2Vec model and reduce its vector space

Sarcasm Detection for Sentiment Analysis

A Los Angeles Times analysis of Every shot in Kobe Bryant's NBA career

A collection of Jupyter notebooks exploring different datasets.

Active Learning for Text Classification in Python

嵌入Word2vec词向量的RNN+ATTENTION中文文本分类

Awesome-Text-Classification Projects,Papers,Tutorial .

📓 Long(er) text representation and classification using Doc2Vec embeddings

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

DatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

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

Implementação e modelo gerado com o treinamento (trigram) da wikipedia em pt-br

Graph Embedding via Frequent Subgraphs

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X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

An introductory workshop on pandas with notebooks and exercises for following along.

What's in your data? Extract schema, statistics and entities from datasets

Conversational text Analysis using various NLP techniques

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

data wrangling simplicity, complete audit transparency, and at speed

A guide to getting started with Data Science and ML.

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

Universal 1d/2d data containers with Transformers functionality for data analysis.

doc2vec , word2vec, implemented by golang. word embedding representation

Short programming tutorials pertaining to data analysis.

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

My dataquest project solutions

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

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

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

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

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Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

A library for managing, validating, summarizing, and visualizing data.

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

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