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features
design
support

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Write a Review

Description

Scribens is a powerful tool that analyzes your written content for grammatical errors and spelling issues. It is designed to be used without altering the original formatting, making it easy to implement corrections across various platforms like Gmail, Hotmail, Yahoo, Facebook, Twitter, LinkedIn, blogs, and forums. By integrating seamlessly with applications such as Microsoft Word, Outlook, PowerPoint, Excel, OpenOffice, or LibreOffice, Scribens enhances your writing experience. The software identifies and corrects over 250 types of common grammatical and spelling errors, including those related to verbs, nouns, pronouns, prepositions, homonyms, punctuation, and typography. Additionally, its online correction feature provides explanations to help users enhance their English writing capabilities. Scribens utilizes an advanced syntactical recognition algorithm that ensures even the most subtle mistakes are caught and addressed. With this sophisticated correction software, Scribens empowers you to elevate the overall quality of your writing significantly. Furthermore, it also identifies stylistic issues such as repetition, run-on sentences, and redundancies to refine your text even further. By using Scribens, you can take a step towards becoming a more proficient writer.

Description

TextBlob is a Python library designed for handling textual data, providing an intuitive API to carry out various natural language processing functions such as part-of-speech tagging, sentiment analysis, noun phrase extraction, and classification tasks. Built on the foundations of NLTK and Pattern, it integrates seamlessly with both libraries. Notable features encompass tokenization (the division of text into words and sentences), frequency analysis of words and phrases, parsing capabilities, n-grams, and word inflection (both pluralization and singularization), alongside lemmatization, spelling correction, and integration with WordNet. TextBlob is compatible with Python versions 2.7 and higher, as well as 3.5 and above. The library is actively maintained on GitHub and is released under the MIT License. For users seeking guidance, thorough documentation is readily accessible, including a quick start guide and a variety of tutorials to facilitate the implementation of different NLP tasks. This rich resource equips developers with the tools necessary to enhance their text processing capabilities.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Apache OpenOffice Yes 
Facebook Yes 
Gmail Yes 
LibreOffice Yes 
LinkedIn Yes 
Microsoft Excel Yes 
Microsoft Outlook Yes 
Microsoft PowerPoint Yes 
Microsoft Word Yes 
NLTK No 
Python No 
X (Twitter) Yes 
Yahoo! Mail Yes 

Integrations

Apache OpenOffice No 
Facebook No 
Gmail No 
LibreOffice No 
LinkedIn No 
Microsoft Excel No 
Microsoft Outlook No 
Microsoft PowerPoint No 
Microsoft Word No 
NLTK Yes 
Python Yes 
X (Twitter) No 
Yahoo! Mail No 

Pricing Details

€9.90 per month
Free Trial Yes 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux No 
Chromebook 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 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
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

Scribens

Country

United States

Website

www.scribens.com

Vendor Details

Company Name

TextBlob

Country

United States

Website

textblob.readthedocs.io/en/dev/

Product Features

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 

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