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Text Annotation

Supercharge your AI & NLP models with Qualitas Global's precise Text Annotation services.

Our expert annotators deliver scrupulous annotations, enhancing accuracy & performance.

From Sentiment Analysis to Named Entity Recognition (NER), we empower your models to extract, classify & identify entities in textual information with unparalleled precision. Elevate your text-based insights today.

Why Us

We recognize the crucial role that accurate & detailed annotations play in maximizing the effectiveness of text-based AI models.

Text annotation finds extensive applications across diverse industries, including healthcare, e-commerce, customer support, legal, finance & more.

Our comprehensive text annotation services cater to various needs, enabling enhanced sentiment analysis, entity recognition, intent classification, information extraction & semantic understanding.

Types of Text Annotations

Sentiment
Analysis

An NLP technique, categorizes text as positive, negative, or neutral to determine emotional tone. It aids businesses in data-driven decision-making, customer experience enhancement, reputation management & public perception monitoring. Applications include social media monitoring, customer feedback analysis & brand reputation management.

Intent
Classification

Our expert annotators accurately label text queries or statements with corresponding intents, empowering AI models to identify user intentions & required actions. By classifying intents, businesses enhance responses, route queries effectively & optimize user interactions. This valuable annotation technique finds application in chatbots, virtual assistants, customer support systems & automated ticket routing.

Name Entity
Recognition

A vital NLP technique identifies & classifies named entities in text, encompassing persons, organizations, locations, dates & more. It enables information extraction, document analysis, question answering, recommendation engines, chatbots & enhances information retrieval in domains like news analysis, legal document processing & knowledge base creation.

Text
Extraction

Our advanced information extraction techniques unlock structured data from unstructured text, enhancing data retrieval, knowledge base construction & decision-making. Applications include document analysis, business intelligence, web scraping, & information integration, with value in news aggregation, content recommendation & document management systems.

Text Categorization or
Text Classification

We assign predefined categories to text documents based on their content. It enables efficient document organization, filtering & searching. Applications include document classification, spam filtering, sentiment analysis, content recommendation & news classification. It forms the basis for organizing & analyzing textual data in diverse domains.

Video
Captioning

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