Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Natural Language Toolkit (NLTK) is a robust, open-source library for Python, specifically created for the processing of human language data. It features intuitive interfaces to more than 50 corpora and lexical resources, including WordNet, coupled with a variety of text processing libraries that facilitate tasks such as classification, tokenization, stemming, tagging, parsing, and semantic reasoning. Additionally, NLTK includes wrappers for powerful commercial NLP libraries and hosts an active forum for discussion among users. Accompanied by a practical guide that merges programming basics with computational linguistics concepts, along with detailed API documentation, NLTK caters to a wide audience, including linguists, engineers, students, educators, researchers, and professionals in the industry. This library is compatible across various operating systems, including Windows, Mac OS X, and Linux. Remarkably, NLTK is a free project that thrives on community contributions, ensuring continuous development and support. Its extensive resources make it an invaluable tool for anyone interested in the field of natural language processing.
Description
By utilizing a drag-and-drop feature from an extensive range of both built-in and expandable modeling libraries, you can create robust, multidomain models that represent your entire system. The integration of the Wolfram Language enhances this experience by providing a comprehensive environment for the analysis, comprehension, and rapid iteration of system designs, ultimately driving insight, innovation, and tangible outcomes. In reality, machines and systems seldom fit neatly into a single physical domain; instead, models can incorporate various interlinked components from multiple domains that reflect real-world configurations. Immediate exploration is facilitated, allowing you to access all component values in your model with just a click. You can delve into specific areas of interest and select from a variety of built-in plotting styles through a user-friendly point-and-click interface. Additionally, you have the capability to conduct your own symbolic and numerical analyses by tapping into the complete set of model equations and simulation outcomes. This powerful combination brings the full potential of the Wolfram Language into your model analysis, making it an invaluable tool for engineers and designers. Furthermore, the ability to seamlessly transition between different domains within your model fosters a deeper understanding of complex systems.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Python
No
TextBlob
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
NLTK
Website
www.nltk.org
Vendor Details
Company Name
Wolfram
Founded
1987
Country
United States
Website
www.wolfram.com/system-modeler/
Product Features
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No