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Text Analysis & Deep Machine Learning with Nubits.

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Text Extraction

Extract text content from variety of file formats ,such as PDFs , Microsoft Word documents, Microsoft Excel documents, PDFs (Searchable and Image Type), Images , Message and Email Files. After extracting text content from different file we can perform more sophisticated language processing tasks, such as Language identification, Entity recognition, PII identification, Sentiment , PHI extraction.

Entities Extraction

Entity extraction, also known as named entity recognition (NER), is a natural language processing (NLP) technique used to identify and extract named entities from unstructured text data.

The goal of entity extraction is to automatically identify and extract relevant information from text data, which can then be used for various applications, such as information retrieval, text classification, sentiment analysis, and machine translation.

PII (Personal Identifiable Information)

PII (Personally Identifiable Information) extraction is a process of identifying and extracting sensitive personal information from unstructured data sources such as text documents, emails, social media posts, and other forms of textual data. PII refers to any information that can be used to identify an individual or their personal identity, such as name, social security number, email address, phone number, address, and date of birth.
PII extraction is crucial for organizations to comply with data protection regulations such as GDPR, HIPAA, and CCPA, which require companies to protect sensitive personal information. By automatically identifying and extracting PII information from unstructured data sources, organizations can better protect sensitive personal information and reduce the risk of data breaches and other security incidents.

Language Identification

Language identification is the process of automatically determining the language of a given text or speech sample. Language identification is a crucial task in natural language processing (NLP) and is used in a variety of applications, such as machine translation, speech recognition, and content filtering.

Language identification is a critical component of many NLP applications and is essential for enabling machines to interact with humans in a more natural and efficient manner. By accurately identifying the language of a given text or speech sample, machines can provide more accurate translations, transcriptions, and other language-based services.

Sentiment Analysis

Sentiment analysis, also known as opinion mining, is a natural language processing (NLP) technique used to automatically determine the emotional tone, attitude, or sentiment expressed in a given text or speech sample. Sentiment analysis is used in a variety of applications, such as social media monitoring, customer feedback analysis, and market research.
Sentiment analysis is a useful tool for businesses and organizations to monitor and analyze customer opinions and attitudes, and to make data-driven decisions based on this feedback. It can also be used to monitor public opinion on social and political issues, and to identify emerging trends and patterns in public sentiment.

PHI (Protected Health Information)

PHI (Protected Health Information) is a term used in the healthcare industry to describe any individually identifiable health information that is created, received, or maintained by a covered entity or business associate. PHI is protected under the Health Insurance Portability and Accountability Act (HIPAA) and includes any information that can be used to identify an individual’s health status or medical history, including their name, address, birth date, social security number, and medical record number.

The protection of PHI is crucial to maintaining patient privacy and confidentiality, and it is an important aspect of the healthcare industry’s commitment to providing high-quality care.

How It works

Our advance AI system work seamlesly & smartly.

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Input
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Extraction
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Deliver AI
based Solution
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