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Information Analysis packages

Showing projects tagged as Text Processing and Information Analysis

  • gensim

    9.5 6.9 L3 Python
    Topic Modelling for Humans

  • Stanza

    8.5 9.6 Python
    Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

  • coala

    7.9 0.0 L4 Python
    coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.

  • sumy

    7.4 6.3 L5 Python
    Module for automatic summarization of text documents and HTML pages.

  • trafilatura

    7.1 9.0 Python
    Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML

  • pdftabextract

    6.5 0.0 L3 Python
    A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.

  • quepy

    5.6 0.0 L5 Python
    A python framework to transform natural language questions to queries in a database query language.

  • pymorphy2

    4.9 0.0 Python
    Morphological analyzer / inflection engine for Russian and Ukrainian languages.

  • IEPY

    4.8 0.0 L5 Python
    Information Extraction in Python

  • PatZilla

    2.2 5.4 Python
    PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.

  • Simplemma

    2.1 7.4 Python
    Simple multilingual lemmatizer for Python, especially useful for speed and efficiency

  • htmldate

    2.1 6.8 Python
    Fast and robust date extraction from web pages, with Python or on the command-line

  • Kotori

    2.0 1.8 Python
    A flexible data historian based on InfluxDB, Grafana, MQTT, and more. Free, open, simple.

  • pntl

    0.9 2.0 Python
    DISCONTINUED. Practical Natural Language Processing Tools for Humans is build on the top of Senna Natural Language Processing (NLP) predictions: part-of-speech (POS) tags, chunking (CHK), name entity recognition (NER), semantic role labeling (SRL) and syntactic parsing (PSG) with skip-gram all in Python and still more features will be added. The website give is for downlarding Senna tool