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Description

Detect references to locations, individuals, brands, and events within various documents and social media platforms. Effortlessly gather further information regarding these entities. Categorize multilingual texts into established, predefined classifications or create a personalized classification system in just a few minutes. Assess whether the sentiment conveyed in brief texts, such as product reviews, is positive, negative, or neutral. Automatically pinpoint significant, contextually relevant concepts and key phrases in articles and social media updates. Analyze two pieces of text to determine their syntactic and semantic resemblance. Recognize when two texts pertain to the same topic. Extract clean textual content from newspapers, blogs, and other online sources, stripping away boilerplate and advertisements to obtain the full text of the article along with its images. This process not only enhances the readability of the extracted content but also ensures that the most pertinent information is highlighted.

Description

Scheme serves as a versatile general-purpose programming language that operates at a high level. It facilitates various operations on complex data structures such as strings, lists, and vectors, in addition to handling traditional data types like numbers and characters. Although often associated with symbolic computation, Scheme's extensive range of data types and its adaptable control structures enhance its versatility for numerous applications. Developers have utilized Scheme for a wide array of projects, including text editors, compilers, operating systems, graphic applications, expert systems, numerical computations, financial analysis software, virtual reality frameworks, and virtually any other conceivable application. Learning Scheme is relatively accessible due to its reliance on a limited set of syntactic forms and semantic principles, and the interactive features of most implementations promote hands-on experimentation. However, achieving a deep understanding of Scheme can be quite challenging, as its complexities unfold with deeper exploration. As a result, practitioners often find themselves continually learning and evolving their skills within this rich programming environment.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

CodeConvert
Emacs
JupyterLab
Notepad++
OpenRefine
Opengrep
PaizaCloud
Pipedream
Racket
Replit
Snipplr
Spacemacs
Unremot
Virtuoso
WordPress
jEdit

Integrations

CodeConvert
Emacs
JupyterLab
Notepad++
OpenRefine
Opengrep
PaizaCloud
Pipedream
Racket
Replit
Snipplr
Spacemacs
Unremot
Virtuoso
WordPress
jEdit

Pricing Details

$49 per month
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

SpazioDati

Founded

2007

Country

Italy

Website

dandelion.eu/

Vendor Details

Company Name

Scheme

Website

www.scheme.com/tspl4/intro.html#./intro:h0

Product Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Text Mining

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

Product Features

Alternatives

Alternatives

Racket Reviews

Racket

Racket Language