Search Results for "tagging"

...In modern times, getting a hold of the flood of information is almost as hard as inserting a USB drive the right way on the first attempt. Zettlr allows you to connect pieces of information using state of the art Zettelkasten methodology. Links? Check. File IDs? Check. File tagging? Also check. And the best is, unlike many competitors, Zettlr never locks you in. Zettlr supports almost every conceivable way to create links and identify your files. In other words: No matter where you come from — all Zettelkästen are beautiful and supported by Zettlr. Out of the box. Zettlr integrates well with reference managers such as Zotero, JabRef, or Juris-M. ...

...It works mainly by conjugating all forms of a basic word list. Decide how words get interpreted or make heavier changes with a compromise-plugin. Parse text without running POS-tagging. Pre-parse any match statements for faster lookups. It is not the most accurate, or clever nlp library, but found its niche as an easy, small library that can run everywhere.

...With Civilzer's Markdown editor, you can edit text in Markdown format, but the editor provides a lot more additional features, so you can edit your content in a more stylish fashion. You can structure and organize your data with tagging, relating, bookmarking. Civilizer's full text search functionality is simple but powerful. You can search with simple space separated keywords as other tools, but unique Civilizer Search Operators can boost your search ability a lot further. Your search phrase can be fine-tuned as far as you can go. Another useful feature is its multi-panel view. ...

The real java implementation of ict. The word segmentation effect is faster than the open source version of ict. Chinese word segmentation, name recognition, part-of-speech tagging, user-defined dictionary. This is a java implementation of Chinese word segmentation based on n-Gram+CRF+HMM. 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. ...

Simple, Pythonic, text processing, Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. TextBlob stands on the giant shoulders of NLTK and pattern, and plays nicely with both.