NLP and Text Data Annotation Services for AI

Name Entity Recognition(NER)

Named Entity Recognition-NER is a process where an algorithm takes a string of text as input and identifies relevant nouns that are mentioned in that string.
USE CASES-

Extract Structure from Unstructured Text Data
Powering Content Recommendations: automating the recommendation process
Leverage AI Support: NER can help power chatbots and enable chatbots to answer questions on recognized entities

Sentiment Analysis

Sentiment analysis may be a natural processing technique want to determine whether data is positive, negative, or neutral.
USE CASES-

Target individuals to improve their service
Brand monitoring: Analysis consumer's reviews, comments and conversations for particular products on social media.
Competitive Research: Track and research how society evaluates competitors just as you analyze their attitude towards your business.

OCR

An Optical Character Recognition-OCR can detect and extract text from images.
USE CASES-

Banking: Process and verify paperwork for loan documents, deposit checks, and other financial transactions
Healthcare: process patient records, including treatments, tests, hospital records, and insurance payments
Logistic: Extract package labels, invoices, receipts, and other documents more efficiently.

Image annotation portfolio

Text Annotated

1 M+

Project

Country

Returning client

67 %

Classification and categorization

Text classification also known as text tagging or text categorization is the process of categorizing text into organized groups.
USE CASES-

Detecting urgent issues from social media and forums
Automating customer support processes
Listening to voice of customer to analyze survey results to discover patterns and insights from text

Information extraction

Information extraction can be applied to find out the actual text or group of text from emails, web pages, documents, conversations, paragraphs, scientific papers, etc.
USE CASES-

NER identifies entities such as people, locations, organizations, dates, etc. from the text.
Healthcare: Management structuring and summarizing patients records
Business: For enabling analysts to gather structured information from multiple sources

To make your model more useful for NLP and machine learning, labeling and categorizing natural language data such as text, speech, or documents by Dodeed AI.