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Average Ratings 0 Ratings

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ease
features
design
support

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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

Our advanced natural language processing technology harnesses the power of AI to capture, analyze, and visualize insights from all forms of customer communication. This includes call transcriptions, chat conversations, emails, support tickets, return claims, social media interactions, and surveys, all supported in 47 languages. With Explorer, users can quickly analyze open-ended text responses in just a few minutes. Additionally, Explorer features an API that enables seamless integration of unstructured text data into your business intelligence systems. The field of employee experience focuses on analyzing and identifying the elements that contribute to employee satisfaction and motivation. Our offerings empower businesses to efficiently process, analyze, and derive meaning from vast amounts of unstructured natural language data in a fraction of the usual time. The platform is designed to be user-friendly, allowing you to create custom bots tailored to your specific business requirements without any coding knowledge necessary. You can achieve immediate efficiency improvements within just minutes of setup. Moreover, the Gavagai API provides a suite of semantic analysis tools that support 47 languages, allowing for immediate access to user-friendly endpoints. This robust capability ensures that organizations can effectively leverage insights from their data to enhance decision-making processes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

SurveyMonkey Enterprise

Integrations

SurveyMonkey Enterprise

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

Baidu

Founded

2000

Country

China

Website

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

Vendor Details

Company Name

Gavagai

Founded

2009

Country

Sweden

Website

www.gavagai.io

Product 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

Product 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

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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