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What is spaCy?

spaCy is designed to equip users for real-world applications, facilitating the creation of practical products and the extraction of meaningful insights. The library prioritizes efficiency, aiming to reduce any interruptions in your workflow. Its installation process is user-friendly, and the API is crafted to be both straightforward and effective. spaCy excels in managing extensive data extraction tasks with ease. Developed meticulously using Cython, it guarantees top-tier performance. For projects that necessitate handling massive datasets, spaCy stands out as the preferred library. Since its inception in 2015, it has become a standard in the industry, backed by a strong ecosystem. Users can choose from an array of plugins, easily connect with machine learning frameworks, and design custom components and workflows. The library boasts features such as named entity recognition, part-of-speech tagging, dependency parsing, sentence segmentation, text classification, lemmatization, morphological analysis, entity linking, and numerous additional functionalities. Its design encourages customization, allowing for the integration of specific components and attributes tailored to user needs. Furthermore, it streamlines the processes of model packaging, deployment, and overall workflow management, making it an essential asset for any data-centric project. With its continuous updates and community support, spaCy remains at the forefront of natural language processing tools.

What is Tisane?

The Tisane API serves as a natural language understanding tool specifically designed for law enforcement and the detection of abusive content. It is adept at identifying various issues, including but not limited to: • Hate speech • Cyberbullying • Criminal behavior • Sexual propositions • Efforts to make unauthorized external contact Furthermore, Tisane not only highlights the problematic areas within the text but can also offer explanations for review or verification purposes. Impressively, the API supports 30 different languages, effectively managing even those that incorporate slang or disguised language. This versatility enhances its utility in diverse linguistic environments.

Media

Media

Integrations Supported

Comet LLM
Datasaur
PyTorch
Spark NLP
Steamship
TeamStation
TensorFlow

Integrations Supported

Make
Maltego
PubNub
Slack
Zapier
Zendesk Sunshine

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Open source
Free Trial Offered?

Pricing Information

Subscription SaaS or on prem
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

spaCy

Date Founded

2015

Company Location

United States

Company Website

spacy.io

Company Facts

Organization Name

Tisane Labs

Date Founded

2017

Company Location

Singapore

Company Website

tisane.ai

Categories and Features

Categories and Features

Content Moderation

Not specified

Natural Language Processing

Co-Reference Resolution
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Qualitative Data Analysis

Annotations
Multi-Language
Sentiment Analysis
Text Analytics

Text Mining

Language Detection
Sentiment Analysis
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

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