Anesidora

Anesidora: Open-Source Text Analysis Tool

An open-source research tool for analyzing large text data, extracting key topics, entities, summaries, and sentiment.

What is Anesidora?

Anesidora is an open-source research and analysis software focused on working with large text datasets. It provides powerful natural language processing capabilities to help make sense of unstructured text.

Some of the key features of Anesidora include:

• Topic modeling - Automatically detect topics and themes across a text collection
• Named entity recognition - Identify people, organizations, locations and more mentioned in text
• Sentiment analysis - Determine if text expresses positive, negative or neutral sentiment
• Text summarization - Generate concise overviews that summarize the key points of longer content
• Relation extraction - Identify relationships between entities contained in text
• Anesidora is written in Python and built on spaCy and Gensim for its NLP capabilities. It provides an intuitive web-based interface for uploading, analyzing and exploring text datasets.
• The software is open-source and extensible. Developers can add custom analysis functionality through Python scripts.
• It can scale to very large datasets with enough computing resources. Overall, Anesidora brings powerful NLP technology to non-technical users to help make sense of unstructured text data.

Anesidora Features

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