Text-classification Libraries

21 Components & Libraries

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Text-classification Libraries

Snips Python library to extract meaning from text

Behind every chatbot and voice assistant lies a common piece of technology: Natural Language Understanding (NLU). Anytime a user interacts with an AI using natural language, their words need to be tr…

✨ Argilla: Open-source platform to build better language models through human feedback

Argilla Client: a powerful Python library for reading and writing data into Argilla, using all the libraries you love (transformers, spaCy, datasets, and any other). Argilla Server and UI: the API an…

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.

Text analytics can be a bit overwhelming and frustrating at times with the unstructured and noisy nature of textual data and the vast amount of information available. "Text Analytics with Python" is …

✨ Rubrix, open-source framework for data-centric NLP. Data annotation and monitoring for enterprise NLP

Why Rubrix? Interactive weak supervision. Building a news classifier with user search queries: Getting started with Rubrix is as easy as: Then simply run: After a few iterations of data annotation, w…

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

Does one of these scenarios sounds familiar to you? If so, you are one of the people we've built refinery for. refinery helps you to build better NLP models in a data-centric approach. Semi-automate …

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

All the Observers can store their state in databases (Sqlite, Postgres, MySQL, etc.), making Obsei suitable for scheduled jobs or serverless applications. Install the following (if not present alread…

Tensorflow based training and classification scripts for text, images, etc

This repository contains code to: setting up tensorflow classifier and retraining it find the tutorials here:

NucliaDB, The vector database optimized for documents and video search

NucliaDB is a robust database that allows storing and searching on unstructured data. It is an out of the box hybrid search database, utilizing vector, full text and graph indexes. NucliaDB is writte…

🗣️ Tool to generate adversarial text examples and test machine learning models against them

This library allows you to generate texts using these methods, and simulate these kind of attacks on your machine learning models. By exposing your model to these texts offline, you will be able to b…

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

This repository contains an SDK and example Jupyter notebooks to showcase its use. Interpret-Text incorporates community developed interpretability techniques for NLP models and a visualization dashb…

A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)

Simply use:

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

Get started with Machine Learning with Python - An introduction with Python programming examples

There are two options. Note: On each of those options, you'll find: No installations needed. Note: On each notebook, click on "Open in Colab", in order to open it on Google Colab Worried about whethe…

Official Python client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Python apps.

You can use pip to install the library: Alternatively, you can just clone the repository and run the setup.py script: You can also access other attributes in the response object to get information ab…

Deep Learning workshop including image classification, face recognition, Object detection, language modelling, image captioning and neural machine translation.

Basic text analytics and natural language processing in Python

Basic computational linguistics and natural language processing in Python. This package provides code to support introductory courses in computational linguistics or natural language processing. Thes…

Web Service for E-Discovery Analytics

FreeDiscovery is an open source e-Discovery and information retrieval engine. It is based on the scikit-learn library and has two main components, FreeDiscovery is released under the 3-clause BSD lic…

CLI-based tool to automatically build ML models from training data into a servable Docker container

With this beginner-friendly CLI tool, you can create containerized machine learning models from your labeled texts in minutes. With this tool you can: First, you can clone this repository to your loc…

OCR, extract and classify documents. In addition, annotate documents and build your own NLP and Computer Vision models using Python by downloading the data. Find examples in our Colab Notebooks, e. g. how to fine-tune Flair.

The SDK allows you to retrieve visual and text features to build your own document models. Konfuzio Server serves as an UI to define the data structure, manage training/test data and to deploy your m…

Text Classification in Turkish Texts with Bert

Goal= Correctly guessing the classification of texts and audios It is a text classification task implementation transformers (by HuggingFace) with BERT. It contains several parts: --Data pre-processi…