Unleash the power of accurately annotated text at scale to supercharge your AI and ML models
From powering chatbots to refining machine translation algorithms, Natural Language Processing (NLP) models rely on accurately annotated text data. However, handling language complexities and large datasets remains a major challenge for AI companies globally.
HitechDigital, India’s leading text annotation company, provides scalable, precise, and cost-effective text annotation services to boost your AI and ML models. Our expert annotators blend automated workflows with human intelligence to extract insights from vast, unstructured, and multilingual text data. Whether fine-tuning text classification, entity labeling, or comprehensive document annotation, our diverse techniques serve various applications and industries.
Our annotation processes enhance your machine learning systems’ comprehension of data by accurately interpreting responses, semantics, and sentiments. We also enrich datasets with metadata, simplifying visualization, enhancing decision-making and fast track your text analytics to unlock the insights in your textual data.
Through specialized audit systems and rigorous validation techniques, we ensure the delivery of highly optimized training datasets that you can trust. Our text annotation processes integrate seamlessly into your existing workflows, maximizing efficiency and effectiveness.
20mn+
Text Data Points Annotated
300+
Text Annotators
97.5 %
Accuracy
Create high quality training datasets to power your AI and ML models
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Tailored text annotation techniques to power your AI and ML models for diverse needs.
Assign predefined categories to text data for information retrieval, sentiment analysis, and organizing content for efficient processing and analysis.
Identify and classify named entities in text, link them to a knowledge base, and annotate for enhanced data analysis and information extraction.
Enrich text by linking its elements to concepts in a knowledge base, improving machine understanding of context and relationships within the content.
Tag textual data with language-specific information, such as syntax, semantics, and phonetics, to aid in natural language processing and analysis.
Determine intent from user’s text or speech for virtual assistants, chatbots, customer support systems, and interactive voice response (IVR) systems.
Segment text into syntactically correlated parts like nouns or verb phrases, to enhance language processing by structuring information for more effective analysis.
More than 95% of our clients are recurring, a testament to the unwavering trust and satisfaction our services consistently deliver.
Operations Head, Construction Technology Company, Germany
Vice President, Operations, Californian Technology Company
Meticulous annotation workflows to ensure precision and consistency in every data point.
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Diverse Use Cases of Text Annotation across Industries
We offer a range of text annotation services, including entity recognition, text categorization, sentiment analysis, coreference resolution, and intent recognition, among others.
We employ a combination of experienced annotators, rigorous quality control processes, and annotation guidelines to ensure high-quality labeled data. Regular audits and feedback loops are also used to maintain quality standards.
We provide text annotation services for various languages, including but not limited to English, Spanish, French, German, Chinese, Japanese, and Arabic.
Yes, we can annotate domain-specific texts. We customize annotation guidelines and train annotators specifically for industry-specific projects, ensuring accurate labeling of domain-specific terms and contexts.
Turnaround time depends on the complexity and volume of the project. We work closely with clients to establish realistic timelines, ensuring timely delivery without compromising quality.
Yes, we take data security and confidentiality seriously. We have strict security measures in place, including secure data transfer protocols and confidentiality agreements with our annotators, to protect your data throughout the annotation process.
Yes, we have the capacity to handle large-scale projects. Our scalable infrastructure and skilled workforce enable us to annotate large volumes of text data efficiently without compromising accuracy.
We can deliver annotated data in various formats, including JSON, CSV, XML, or directly integrated into your database via APIs, based on your specific requirements.
Yes, we offer tailored text annotation solutions to meet the unique requirements of different industries, such as healthcare, finance, legal, and e-commerce, among others.
We develop custom annotation guidelines based on project requirements, industry standards, and specific use cases to ensure consistency and accuracy in annotations.
Yes, we provide ongoing support and maintenance services, including dataset updates, re-annotation, and model retraining, to keep your AI and ML applications up-to-date and accurate.
Certainly, we have experience in annotating text data from diverse sources, including social media platforms, customer reviews, and other unconventional sources, enhancing the versatility of your AI models.
Yes, we have stringent quality assurance processes in place, including double-annotation, inter-annotator agreement checks, and continuous quality monitoring, to validate the accuracy and reliability of annotated data.
Our pricing depends on factors such as project complexity, annotation type, volume, and required turnaround time. We offer competitive and transparent pricing tailored to specific project needs.