AI Models To Use, Monitor, and Improve
Put the power of Qualetics AI model library to use today and begin building your own data machines, connect your own data to them, take action based on your new insights, monitor their performance, and continually refine your own AI Data Machines!
NLP - Natural Language Processing Models
Identifies the language of your input text from more than 75 languages. Learn More
Sentiment Analysis (Aggregated)
Given a target that you want to analyze for, this model reviews the input text for every reference to the target and assesses sentiment as negative, neutral, or positive. Learn More
Sentiment Analysis (Targeted)
Analyzes input text for each subject that sentiment is expressed for and provides character placement for extraction. Learn More
Identifies the emotions communicated in the target words of the input text that reflect emotion. Learn More
Text Classification (General)
Classifies text input as to the type of subject mentioned across over 800 different categories (e.g. Animals and Plants/Pets, Sports and Games, Science and Technology, Real Estate etc.) Learn More
Text Classification (Tone)
Classifies a text input relative to the tone represented in the text (e.g. frustrated, sad, impolite, excited, sympathetic, satisfied, etc.) Learn More
Key Phrase Extraction
Extracts the words and expressions with the most relevance from the input text. It helps summarize the content, and recognizes the main topics. Learn More
Analyzes given text for categories of information returned in a hierarchy. Learn More
Named Entity Recognition
Identifies the named entities in input text, categorizes them, and returns the location of the entity extracted (offset and length), and a confidence score. Learn More
Entity Mentions & PII
Identifies and if desired redacts and/or extracts mentions of entities related to PII (person, organizations, dates, emails, SSN, bank account numbers, credit card numbers, etc.)
Recognizes when two entities are related and identifies the type of relationship.
Analyzes text to determine the concepts referenced ranking them and including explanations from https://dbpedia.org/.
Industry Code Classification
Returns the Industry Code Classification used in North America (NAICS) for any product or service descriptor provided as input. It can be customized to classify for other industry taxonomies as well.
Removes HTML tags from input text retaining the resulting plain text along with character offset mapping, ideal when highlighting extracted results on original HTML text. Learn More
Analyzes key aspects of sentence structure, lemmatization (the proper grouping of words and their tense), and dependency parsing.
Returns information from the document, including author name, title, RSS/ATOM feeds, prominent page image, and publication date. Supports URL and HTML input.
Audio & Image Models
Speech to Text
Produces transcripts of audio supporting 13 languages.
Text to Speech
Produces natural sounding speech from text supported in 10 languages with options for delivering male, female, and generic voices in multiple standard and expressive tones.
Understands content and type of documents.
Categorizes scene-based features and objects contained in an image.
Locates and identifies objects in an image.
Exception Severity Detection
Detects the severity of an exception in terms of Major/Minor/Critical exceptions based on the sequence of events, usage and user activity.
Identifies duplicate information from a master dataset. The analyzed result includes the master data and input data strings that are matched along with a confidence score for the match. Learn More
This model understands the intent and context of a query then delivers results without relying on keyword matching. Learn More
Question & Answer
This is an extension of Semantic Search. It operates as a conversational agent responding to queries in the context of previous questions and answers posed in the same session. Learn More
Identify anomalies in a sequence of events. Learn More
User Engagement Scoring Models
Associate an engagement score with a user/client based on their activity.
Churn Prediction Models
Predict the likelihood of churn based on user activity and engagement.
Recommendation Engine Models
Recommend products or content based on activity. Learn More