Overview
Consulting in Natural Language Processing (NLP)
Auronova provides industry-leading professional services and consulting in text mining and Natural Language Processing (NLP), to support your information extraction and knowledge discovery projects.
Natural Language Processing is the sub-field of AI that is focused on enabling computers to understand and process human languages. After identification and extraction of the contents needed for text analytics, we use different NLP techniques to extract meaningful information from it.
Text mining automatically extracts valuable information from given raw text sources. Patterns and trends in text can be automatically extracted through statistical pattern learning and natural language processing techniques.
With this extracted information, documents can be categorized, clustered, assigned a sentiment, or tagged and annotated automatically at a speed and scale that far surpasses human analysis.
Approach
Our Approach towards Natural Language Processing / Text Analytics
Natural Language Processing
Natural Language Processing (NLP) has become essential for businesses to gain a competitive edge in the enterprise world. Consider the valuable insights hidden in your enterprise unstructured data—text, email, social media, videos, customer reviews, reports, etc. NLP applications are a game changer, helping companies analyze and extract value from this unstructured data. Some of the applications for NLP are:
Natural Language Processing
Natural Language Processing (NLP) has become essential for businesses to gain a competitive edge in the enterprise world. Consider the valuable insights hidden in your enterprise unstructured data—text, email, social media, videos, customer reviews, reports, etc. NLP applications are a game changer, helping companies analyze and extract value from this unstructured data. Some of the applications for NLP are:
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Text Mining and Text Extraction
Text mining is an artificial intelligence (AI) technology that uses natural language processing (NLP) to transform the unstructured text in documents and databases into normalized, structured data suitable for analysis or to drive machine learning (ML) algorithms. We provide these offerings for this:
Text Mining and Text Extraction
Text mining is an artificial intelligence (AI) technology that uses natural language processing (NLP) to transform the unstructured text in documents and databases into normalized, structured data suitable for analysis or to drive machine learning (ML) algorithms. We provide these offerings for this:
Sentiment Analysis
Sentiment analysis is a type of text research a.k.a. mining. It applies a mix of statistics, natural language processing (NLP), and machine learning to identify and extract subjective information from text files, for instance, a reviewer’s feelings, thoughts, judgments, or assessments about a particular topic, event. The goal of sentiment analysis is the same: to know a user or audience opinion on a target object by analyzing a vast amount of text from various sources.
Sentiment Analysis
Sentiment analysis is a type of text research a.k.a. mining. It applies a mix of statistics, natural language processing (NLP), and machine learning to identify and extract subjective information from text files, for instance, a reviewer’s feelings, thoughts, judgments, or assessments about a particular topic, event.
The goal of sentiment analysis is the same: to know a user or audience opinion on a target object by analyzing a vast amount of text from various sources.
Optical Character Recognition
Optical character recognition solutions that allow converting static documents to readable and editable format. OCR is an advanced technology for automatic text recognition. The technology relieves employees of manual entry of data, cuts related errors, and enables automated data capture.
An OCR and NLP combined algorithm has applications that your company can use to complete many document-related tasks not limited to the following:
Optical Character Recognition
Optical character recognition solutions that allow converting static documents to readable and editable format. OCR is an advanced technology for automatic text recognition. The technology relieves employees of manual entry of data, cuts related errors, and enables automated data capture.
An OCR and NLP combined algorithm has applications that your company can use to complete many document-related tasks not limited to the following:
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