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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
The Universal Sentence Encoder (USE) transforms text into high-dimensional vectors that are useful for a range of applications, including text classification, semantic similarity, and clustering. It provides two distinct model types: one leveraging the Transformer architecture and another utilizing a Deep Averaging Network (DAN), which helps to balance accuracy and computational efficiency effectively. The Transformer-based variant generates context-sensitive embeddings by analyzing the entire input sequence at once, while the DAN variant creates embeddings by averaging the individual word embeddings, which are then processed through a feedforward neural network. These generated embeddings not only support rapid semantic similarity assessments but also improve the performance of various downstream tasks, even with limited supervised training data. Additionally, the USE can be easily accessed through TensorFlow Hub, making it simple to incorporate into diverse applications. This accessibility enhances its appeal to developers looking to implement advanced natural language processing techniques seamlessly.
API Access
Has API
API Access
Has API
Integrations
Google Colab
TensorFlow
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
Tensorflow
Founded
2015
Country
United States
Website
www.tensorflow.org/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder
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