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What is TextBlob?

TextBlob is a Python library specifically tailored for managing textual data, offering a user-friendly API that allows users to perform a range of natural language processing tasks, including part-of-speech tagging, sentiment analysis, noun phrase extraction, and classification. It is built on NLTK and Pattern, enabling it to work harmoniously with both of these foundational libraries. Among its many features are tokenization, which breaks text into words and sentences, word and phrase frequency analysis, parsing functions, n-gram generation, and word inflection for both pluralization and singularization. Additionally, it provides lemmatization, spell-checking capabilities, and integrates with WordNet for enhanced lexical operations. TextBlob supports Python versions starting from 2.7 and is compatible with 3.5 and later versions. The library is actively updated and maintained on GitHub, and it is distributed under the MIT License for open-source accessibility. Users can find extensive documentation that includes a quick start guide and various tutorials to help them effectively implement different NLP tasks. This comprehensive documentation serves as a valuable resource, empowering developers to significantly improve their text processing abilities and apply advanced techniques with ease.

What is SimpleX?

Effortlessly manage your text data using a no-code interface designed to understand natural language, leaving the limitations of spreadsheets behind. Unlike conventional spreadsheets that struggle with the subtleties of language, SimpleX harnesses your understanding alongside its sophisticated features. Bid farewell to complicated queries and technical jargon; here, artificial intelligence functions seamlessly within an intuitive interface. Experience a tenfold enhancement in the speed of analyzing free text responses, allowing you to swiftly import, tag, classify, and organize countless quotes in mere seconds, as our AI handles the complex tasks. Instantly create treemaps or word clouds that can be easily incorporated into your presentations, along with structured exports rich in valuable insights. Capable of natively understanding and processing 50 languages, even in various formats, it can efficiently manage up to 10,000 text responses, including quotes, feedback, and reviews. With AI-powered analytical tools, it extracts insights at an accelerated pace, completing real-time tasks that previously required human effort. This advanced AI solution not only offers remarkable power but also prioritizes user-friendliness, fundamentally changing the way you engage with text data. As a result, you can now focus more on strategic decision-making rather than getting bogged down in data management.

Media

Media

Integrations Supported

Google Sheets
NLTK
Python
Zapier

Integrations Supported

Google Sheets
NLTK
Python
Zapier

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

€6 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

TextBlob

Company Location

United States

Company Website

textblob.readthedocs.io/en/dev/

Company Facts

Organization Name

Simple Decisions

Company Location

France

Company Website

sx.simpledecisions.io

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

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