iMerit’s advanced sentiment and topic analysts can identify trends and nuances in large volumes of text data including product reviews, financial news, and social media. Useable in any language, annotation for sentiment analysis enables companies to better understand how their customer bases view their products, which way a stock price may be trending, identify unsolved customer needs, and more.
iMerit text annotation experts bring the building blocks of NLU together to drive the development of next-generation chatbots, digital assistants, and conversational AI products in retail, tech media, finance, and healthcare.
NAMED ENTITY RECOGNITION (NER) & ENTITY CLASSIFICATION
By identifying, classifying, underlining, and linking relevant text and metadata strings, iMerit powers innovations in digital document analysis, conversational AI development, and knowledge base curation.
Natural language processing
Understand the sentiment between the lines of text. Glean valuable insights to improve things like search relevance and improve automated chat systems that are commonly employed in customer service.
Add iMerit’s image annotation services to your existing (or iMerit provided) text annotation workflow to train models that operate jointly on images and text. Useful for intelligent document processing (IDP), generating better word embeddings, image summarization, logo and product identification + recognition, and more.
iMerit annotation experts create best-in-class text training datasets in rapid time for any AI or ML project.