Search Results for "keyword"
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Showing 9 open source projects for "keyword"
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1
PaperAI
Semantic search and workflows for medical/scientific papers
PaperAI is an open-source framework for searching and analyzing scientific papers, particularly useful for researchers looking to extract insights from large-scale document collections. -
2
modnlp
Modular Suite of NLP Tools
...It provides an API and tools for (inverted) indexing, storage and retrieval of large amounts of text, with (XML-based) handling of meta-data, tools for text categorisation, including, functionality for XML parsing, term set reduction (and basic keyword extraction), probabilistic classifier induction, sample classification tools, and evaluation modules, a suite of corpus management, curation and distributed access tools. If you use the tool please consider referencing it using the following article: Luz, S., & Sheehan, S. (2020). Methods and visualization tools for the analysis of medical, political and scientific concepts in Genealogies of Knowledge. ... -
3
LexiFinder
AI-powered semantic indexing: automating the creation of book indexes
LexiFinder is a tool to generate analytic indexes from documents automatically. Given one or more source documents and a set of keywords, it extracts all nouns, compares them semantically to the keywords using a pretrained NLP model, and produces a structured, hierarchical index ready to be included in a book or manuscript. LexiFinder works in two ways: as a command-line tool for scripting, automation, and batch processing, and as a graphical application for a guided, point-and-click... -
4
KoNLPy
Python package for Korean natural language processing
KoNLPy is a natural language processing (NLP) library for the Korean language, offering tokenization, morphological analysis, and named entity recognition. -
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5
Synonyms
Chinese synonyms, chat robot, intelligent question and answer toolkit
...Better Chinese synonyms, chatbot, intelligent question and answer toolkit. synonymsCan be used for many tasks in natural language understanding, text alignment, recommendation algorithms, similarity calculation, semantic shifting, keyword extraction, concept extraction, automatic summarization, search engines, etc. Print synonyms in a friendly way for easy debugging. "Synonyms Cilin" was compiled by Mei Jiaju and others in 1983, and now widely used is "Synonyms Cilin Extended Edition" maintained by the Social Computing and Information Retrieval Research Center of Harbin Institute of Technology. ... -
6
nlp-roadmap
ROADMAP(Mind Map) and KEYWORD for students
nlp-roadmap is a visual learning guide for students exploring natural language processing and related foundations. It organizes essential keywords into semantic mind maps rather than presenting a conventional textbook or code library. The material begins with probability and statistics, then progresses through machine learning and text mining. Its final section maps major concepts and methods within natural language processing. The diagrams are intended to suggest a study path, while... -
7
TextRank
TextRank implementation for Python 3
TextRank is an implementation of the TextRank algorithm for extractive text summarization and keyword extraction, inspired by Google’s PageRank. -
8
Ansj Chinese word segmentation
Ansj word segmentation
...The word segmentation speed reaches about 2 million words per second (tested under mac air), and the accuracy rate can reach more than 96%. At present, it has realized the functions of Chinese word segmentation, Chinese name recognition, user-defined dictionary, keyword extraction, automatic summarization, and keyword tagging. It can be applied to natural language processing and other aspects, and is suitable for various projects that require high word segmentation effects. -
9
Rootvole
a text parsing library that matches text with concepts.
For general processing of voice queries we developed a text parsing library named 'Rootvole' that can be used to match text with semantic concepts. The algorithm was implemented in Java and can be described as a form of a parsing expression grammar, where we generate the expressions to be detected beforehand by regular expressions and store them in a vocabulary. The central class is the parser class, which is instantiated as a series of vocabularies, simple text lists that describe... -
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