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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Baidu's Natural Language Processing (NLP) leverages the company's vast data resources to advance innovative technologies in natural language processing and knowledge graphs. This NLP initiative has unlocked several fundamental capabilities and solutions, offering over ten distinct functionalities, including sentiment analysis, address identification, and the assessment of customer feedback. By employing techniques such as word segmentation, part-of-speech tagging, and named entity recognition, lexical analysis enables the identification of essential linguistic components, eliminates ambiguity, and fosters accurate comprehension. Utilizing deep neural networks alongside extensive high-quality internet data, semantic similarity calculations allow for the assessment of word similarity through word vectorization, effectively addressing business scenario demands for precision. Additionally, the representation of words as vectors facilitates efficient analysis of texts, aiding in the rapid execution of semantic mining tasks, ultimately enhancing the ability to derive insights from large volumes of data. As a result, Baidu's NLP capabilities are at the forefront of transforming how businesses interact with and understand language.

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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

CodeConvert No 
Emacs No 
JupyterLab No 
Notepad++ No 
Opengrep No 
PaizaCloud No 
Racket No 
Replit No 
Snipplr No 
Spacemacs No 
jEdit No 

Integrations

CodeConvert Yes 
Emacs Yes 
JupyterLab Yes 
Notepad++ Yes 
Opengrep Yes 
PaizaCloud Yes 
Racket Yes 
Replit Yes 
Snipplr Yes 
Spacemacs Yes 
jEdit Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

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

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

Baidu

Founded

2000

Country

China

Website

intl.cloud.baidu.com/product/nlp.html

Vendor Details

Company Name

Scheme

Website

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

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 

Product Features

Alternatives

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word2vec

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Alternatives

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Racket Reviews

Racket

Racket Language
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ERNIE 4.5

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ERNIE 5.0

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