DiscoverText

Diagnostyka i analiza opieki zdrowotnej oparta na sztucznej inteligencji

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DiscoverText is a cloud-based text analytics solution that helps users gain insights from various types of text data, including social media, surveys, and emails. With powerful tools for data mining and machine classification, it enables quick and accurate decision-making across different industries, including government, healthcare, and education.

DiscoverText można znaleźć w AI-powered Diagnosis & Healthcare Analytics kategorie.

Produkty najbardziej podobne do DiscoverText to:

BrandMentions Lansowany → Finch AI → Provalis Research → Text2Data →

Zrzuty ekranu

Bliższe dane

DiscoverText Główne cechy

• CoderRank scoring
  CoderRank is used to ensure accurate and reliable results when humans or machines are evaluated.
• Purposive sampling
  Interactive machine classifier histograms support purposive sampling to speed up training.
• Fast classifier creation
  Machine classifiers can be created in hours or minutes, with or without crowdsourcing.
• Multilingual text mining
  The SaaS supports many languages for text mining and data analysis.
• Point-and-click interface
  Users work with an easy graphical interface in web browsers to sort text and metadata.
• Cloud-based software tools
  DiscoverText offers simple to advanced cloud-based tools for text analysis.
• Academic access and support
  Students and professors get free access, training, and project support from the founder.
• Hybrid data science methods
  The software blends crowdsourcing, measurement, adjudication, iteration, replication, and annotator ranking.
• Deduplication and clustering
  Near-duplicate detection and automated clustering help map the data world.
• Human–machine collaboration
  A back-and-forth between humans and machines helps learn and improve results.
• NSF-backed research and history
  The methods come from NSF-funded research and a long history since 2005.
• uClassify-powered machine learning
  DiscoverText machine-learning is powered by uClassify.
• Topics and sentiment classification
  The tool can sort items into topics, sentiment, and other categories.
• Support for large-scale data sources
  It works with Twitter data, public comments, surveys, and other open-ended text sources.
• Collect, clean, and analyze text data
  It helps collect, clean, and analyze unstructured text and related metadata.
• Interactive histograms for classifiers
  Histograms help data teams see which items add the most value when coded by humans.
• Legal redaction and Bates-stamped PDFs
  Legal teams can redact names and sensitive data to create Bates-stamped PDFs.
• Reusable machine classifiers (sifters)
  Users can build reusable machine classifiers, called sifters, to find the most relevant items.
• Gold standard training with adjudication
  Adjudication creates gold standard training sets by ranking human annotators over time.
• eDiscovery and information retrieval tools
  The SaaS includes eDiscovery tools and information retrieval methods for text analytics.

DiscoverText Korzyści

• Collaborate online
  You can work together with others in real-time, which helps teams share ideas and insights quickly.
• Improves over time
  The ActiveLearning engine gets better as it learns, making it more accurate in sorting and analyzing text data.
• Tools for government
  It has special tools that help government workers do their jobs more effectively.
• Generate valuable insights
  DiscoverText helps you understand important information about customers, products, and employees, which leads to better decisions.
• Understand employee themes
  You can find out what employees are talking about and what issues they face, helping to improve the workplace.
• Redact sensitive information
  The software can help remove private information from documents, keeping data safe.
• Handles large amounts of data
  DiscoverText can manage big data from social media, surveys, and emails, making it easier to find what you need.
• Search and organize information
  DiscoverText allows you to easily search and filter through text data, making it simpler to find important details.

Kto powinien używać DiscoverText?

• Academics
  Academics can use DiscoverText to improve their research and get more publications by analyzing text data effectively.
• Educators
  Educators can analyze student feedback and survey data to improve teaching methods and learning experiences.
• Marketers
  Marketers can discover trends and topics in social media to create better campaigns and connect with their audience.
• Businesses
  Businesses can filter and analyze customer feedback from surveys and social media to understand their audience better.
• Data Scientists
  Data scientists can quickly clean and analyze large amounts of text data, saving them time and effort.
• Government Officials
  Government officials can use text analytics to gather insights from public opinions and improve services.

Odznaki

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Text2Data

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