news-inspector

News-inspector is a free software library for analyzing and acquiring information from news. It features a collection of NLP and machine learning tasks that can be used to analyze news articles such as:

• classification
• named entity recognition
• knowledge-based article search

All the methods can be easily configured and trained/retrained. Once trained, they can be loaded and used on new articles.

Requirements

• Python >=3.4
• scikit-learn>=0.17.1
• sklearn-crfsuite>=0.3
• nltk>=3.24

Installation

pip install news-inspector

Quick start

Train the model:

from news_inspector import GenericClassifier
train_model(GenericClassifier, "myconfig.xml", "myclassifier.model");

Load and use the model:

from news_inspector import load_model

model = load_model("myclassifier.model");
result = model.classify(text);

Documentation

Read the docs at https://news-inspector.readthedocs.io/en/latest/.