Best Natural Language Processing Software in Japan

Align analytics to your everyday business workflows. Your business relies on people, data and documents, but the process of using them is broken. QuaerisAI enables seamless downstream workflows across your People, Documents and Data Assets. Use natural language search on data, documents and collaborate in private or within Communities - all in one platform! QuaerisAI offers time savings of at-least 30 minutes to an hour/day/resource - imagine the productivity enhancements you give your users without the expense of buying and consolidating a bunch of AI tools. Quaeris can be rolled out to team of 10s or 1000s of users seamlessly within a matter of days - without much need of IT, and that is why IT & data teams love us!

Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.

NLSQL is a cutting-edge B2B SaaS platform designed to empower employees by transforming natural language into actionable business data through an intuitive text-based interface. By leveraging Natural Language Processing (NLP), NLSQL enables users to query corporate databases using plain English, streamlining decision-making and accelerating operational efficiency. As the first NLP-to-SQL API of its kind, NLSQL allows seamless integration within existing enterprise systems without the need to transfer any sensitive or confidential information outside the corporate IT environment. This ensures robust data security and compliance with industry regulations. With NLSQL, companies benefit from faster insights, reduced reliance on technical teams for report generation, and improved accessibility to data across departments. The platform is ideal for large enterprises seeking to enhance productivity, boost data-driven culture, and maintain complete control over internal information flow.

Mine insights in unstructured text using NLP—no machine-learning expertise required—using text analytics, a collection of features from Cognitive Service for Language. Gain a deeper understanding of customer opinions with sentiment analysis. Identify key phrases and entities such as people, places, and organizations to understand common topics and trends. Classify medical terminology using domain-specific, pretrained models. Evaluate text in a wide range of languages. Identify important concepts in text, including key phrases and named entities such as people, events, and organizations. Examine what customers are saying about your brand and analyze sentiments around specific topics through opinion mining. Extract insights from unstructured clinical documents such as doctors' notes, electronic health records, and patient intake forms using text analytics for health.

Amazon Comprehend Medical is a HIPAA-eligible natural language processing (NLP) service that uses machine learning to extract health data from medical text–no machine learning experience is required. Much of health data today is in free-form medical text like doctors’ notes, clinical trial reports, and patient health records. Manually extracting the data is a time consuming process, while automated rule-based attempts to extract the data don’t capture the full story as they fail to take context into account. As a result, the data remains unusable in large-scale analytics needed to advance the healthcare and life sciences industry and improve patient outcomes and create efficiencies.

When treating a patient, doctors spend on average two-thirds of their time documenting the treatment and far less time on examinations or patient interviews. To allow doctors to spend more time with their patients, Averbis is working on Speech2Structure – a software solution where the documentation is recorded live by voice and structured on-the-fly. Speech2Structure can correctly recognize and resolve many linguistic variations such as negations, suspected diagnoses, diagnoses that have taken place, etc. when recognizing diagnoses. Pathological laboratory values or microbiology results are also converted into corresponding diagnoses. The recorded medications can also provide clues to diagnoses.

Our regulatory compliant platform empowers clinical research by algorithmically analyzing unstructured EMR data for life endangering conditions. We build technologies that expand access to the most Innovative Healthcare through Clinical Trials. We are a team focused on saving lives by providing access to healthcare therapeutic innovations that are still under investigation. We believe that every patient should be empowered and educated on their opportunities to participate in clinical trials that may offer therapies significantly saving or improving their lives. We are an advanced healthcare AI research company that have developed a computational-based platform to identify patients who match a complex set of criteria to participate in clinical trials.

Over 15+ years, we have been the pioneers in building successful clinical NLP platforms & their applications that delivers high accuracy and precision rates. Our core capability is to interpret unstructured notes, accurately and at scale. Tried & tested on billions of diverse and real clinical notes & documents. Explainable AI with reasoning, context & evidence for output. Medical knowledge infused NLP with 4M+ entities & 50M+ relationships. Built using innovative Machine Learning (ML) & Deep Learning (DL) models. Leverage a foundation of rich ontologies & clinician-specific terminologies. We have the ability to understand, interpret and extract context & meaning from the messy, inconsistent, non-standardized data within medical documents. Our Clinical domain experts continuously infuse knowledge graphs into our NLP by mapping all the clinical entities and the relationship between them. So far, we have more than 4 million entities and 50 million relationships.

Despite the availability of new and updated technology, most healthcare organizations’ data remains embedded in non-automated, unstructured documents like paper faxes and PDFs. Interoperability continues to be a challenge for all healthcare systems. Consensus Clarity’s natural language processing (NLP) and artificial intelligence (AI) technology help solve this problem, enabling better data sharing, information visibility, enhanced workflows, and resource optimization for all stakeholders. Consensus Clarity transforms digital unstructured documents into useful and actionable data, improving and accelerating communications. Clarity’s NLP/AI makes it possible to solve today’s toughest healthcare interoperability challenges. Clarity removes roadblocks and optimizes resources across the continuum of care. In a hard-to-read document, Clarity can turn unstructured data into a structured JSON format that can be consumed into another system.

ClinicalWave.ai built on AWS cloud platform is an integrated AI platform tailored for life sciences organizations. It offers automated redaction and extraction of sensitive data and leverages cutting-edge NLP technology to extract valuable insights from clinical documents, streamlining your workflows like never before. It consists of: 1. ClinRedact AI- Our Redaction product which automatically identifies and redacts sensitive information in clinical documents, saving time and ensuring data integrity. 2. ClinExtract AI- The AI Data Extraction product that utilizes NLP and machine learning to extract relevant data points from clinical documents, providing valuable insights and streamlining workflows. 3. ClinDICOM AI- Experience the power of our feature-rich DICOM data extraction and redaction product offering targeted redaction, customizable rules, intelligent contextual analysis, audit trail compliance, redaction preview, and a user-friendly interface.