Natural Language Processing in AI

Labeling solutions to enable your AI Models to easily comprehend human language

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Natural Language Processing in AI
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Natural Language Processing Annotation Services

We offer the best NLP platforms and tools to companies for making text & speech data comprehensible to computers and AI models.

Sentiment Analysis

Sentiment Analysis

A sentiment label like positive, negative or neutral is assigned to text for training an AI model to automatically classify the sentiment of a text. This is handy in monitoring social media and analyzing customer sentiment.

Named Entity Recognition

Entities in a text like person names, locations, and organizations are used for automatically identifying and classifying them. It is useful for extracting information and classifying documents.

Named Entity Recognition
Part of Speech Tagging

Part of Speech Tagging

Each word in a sentence is tagged with its corresponding part of speech for improving tasks including parsing and extracting information.

Text Classification

Documents are classified as per pre-defined categories (spam vs. non-spam, news articles by topic, or customer support requests) by type. These are used for routing incoming customer requests to the relevant department.

Text Classification
Machine Translation

Machine Translation

Translations of a source text is used for training a model to carry out text translation from one language to another. It is utilized by global businesses that require translated content for international customers.

Speech Recognition

Spoken words are transcribed into text for training a model to automatically transcribe and recognize speech. It is utilized in voice-activated assistants and speech-to-text transcription applications.

Speech Recognition

Applications of Natural Language Processing

Healthcare

Healthcare

Analyze medical records, clinical notes and patient data for offering enhanced patient care and treatment.

Finance

Finance

Analyze financial reports, news articles and social media data for predicting market trends, to identify possible investment choices.

Marketing

Marketing

Analyze social media data, customer reviews and surveys to get in-depth insight about your customers.

E-Commerce

E-Commerce

Analyze customer reviews, search queries and product descriptions to optimize search results enhance product recommendations and know customer’s needs.

Government

Government

Offer a robust solution for data that’s sensitive and requires processing for the public sector at federal, local as well as state level.

Education

Education

Analyze student feedback, course evaluations and study materials to enhance learning resources and knowing student needs in a better way.

Frequently Asked Questions

Natural language processing (NLP) is a branch of computer science and particularly of artificial intelligence that lends computers the capability to comprehend text and speech in very much the same manner that humans can.

Natural language processing is a big and complicated language. It removes ambiguity, assists in detecting confusion and offers functional numeric structures for the data like “Text Analysis.” NLP automatically processes vast pools of data by reading with the aim of understanding and interpreting data having a quotient for sentiment analysis. NLP can also detect the significance of the context for providing accurate output.

NLP is made up in various ways by using varied machine learning methods as per the purpose for which analysis is being done. It may be a simple thing like usage frequency or something that is way more complex. Regardless of the use case, an algorithm needs to be devised.

It’s because of NLP that AI can justify its claim to being called as intelligent. Newer and deep learning models are consistently enhancing AI’s performance in Turing tests. Human nature is very complex as what they say is not the same as what they do.

Interested in Working with Us?

In today's tech-driven world, a career in Artificial Intelligence (AI) can be highly rewarding. Join our team of Annotation Specialists, and be a part of the company that creates high-quality training datasets.

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