There are several different techniques for NLP & OCR Services for deep learning.
We will give you the unstructured data in your documents into structured data suitable for analysis or to train the NLP ML Algorithms.
Our team analyzes the image based on each component of the object and the actions taken within it and then produces a caption or text description.
We have an expert team in generating a concise and precise summary of voluminous texts while focusing on the sections that convey useful information, and without losing the overall meaning.
Sentiment analysis is used to determine whether data is positive, negative, or neutral. This technique helps businesses and commercial organizations understand the opinions, feelings, viewpoints, thought processes, and perspectives of individuals, communities, and religious groups towards a brand, product, or service.
Intent analysis is a new wave in the evolution of NLP and AI that will change the way customer feedback is evaluated. Intent analysis improves the game by assessing the user’s intent behind each message and identifying whether it is news, complaints, or suggestions. Our experienced annotators help you to train the AI/ML in the fields of chatbots, digital assistants, and conversational AI products in retail, tech media, finance, and healthcare by providing quality intent analysis.
Named Entity Recognition finds the named Entity mentioned in unstructured text into predefined categories such as personal name, organization, location, medical code, date, quantity, monetary value, percentage, etc.
OCR Text Box is used to tag text from printed or written text from scanned documents or image files and converts the text into machine readable format that can be used for data processing such as searching or editing.
Convert your digital or hand-written text images to machine-readable text. With the white tool used by us, automate transcription to get the text extracted directly when drawing your bounding box. We have experience in extracting large data and in multiple languages too