AI Text Engines

Anomaly Detection

Locate potential abnormalities in a time series.

Anomaly Detection runs on the aiWARE Enterprise AI platform, which orchestrates a diverse ecosystem of ready-to-deploy machine learning models to transform audio, video, text, and other data sources into actionable intelligence, at scale, with no AI expertise. With aiWARE, leverage digital workers to save manual review time, gain valuable data insights, and cognitively enrich end-to-end workflows.

Anomaly Detection engines in the Veritone cognitive engine ecosystem assign a confidence value to specific entries in time-series data sets with the goal of predicting which events are anomalous.

Simply ingest time-series data that gives the engine a list of numbers representing certain events and corresponding timestamps of when they occurred. The engine will process this and return the likelihood that any given event is anomalous.

Anomaly Detection Features:

Content Classification

Categorize text files and images according to their content.

Content Classification runs on the aiWARE Enterprise AI platform, which orchestrates a diverse ecosystem of ready-to-deploy machine learning models to transform audio, video, text, and other data sources into actionable intelligence, at scale, with no AI expertise. With aiWARE, leverage digital workers to save manual review time, gain valuable data insights, and cognitively enrich end-to-end workflows.

Content Classification engines in the Veritone cognitive engine ecosystem categorize one or more documents or text files into predefined categories based on what words the text contains. Classification examples might include Finance, Internet, News, or Real Estate, with sub-categories available for further sub-classification. Categorizing text in this way can accelerate request routing and improve records management.

Content Classification Features:

Entity Extraction

Classify entities in text into categories such as people or places.

Entity Extraction runs on the aiWARE Enterprise AI platform, which orchestrates a diverse ecosystem of ready-to-deploy machine learning models to transform audio, video, text, and other data sources into actionable intelligence, at scale, with no AI expertise. With aiWARE, leverage digital workers to save manual review time, gain valuable data insights, and cognitively enrich end-to-end workflows.

Entity Extraction — often known as named-entity recognition — engines in the Veritone cognitive engine ecosystem classify words and phrases found in unstructured text into predefined categories, such as people, organizations, and locations.

Entity extraction cognitive engines can also denote the time or date which assists during pre-processing large volumes of data.

Entity Extraction Features:

Keyword Extraction

Identify specific terms and/or phrases in text.

Keyword Extraction runs on the aiWARE Enterprise AI platform, which orchestrates a diverse ecosystem of ready-to-deploy machine learning models to transform audio, video, text, and other data sources into actionable intelligence, at scale, with no AI expertise. With aiWARE, leverage digital workers to save manual review time, gain valuable data insights, and cognitively enrich end-to-end workflows.

Keyword Extraction engines in the Veritone cognitive engine ecosystem identify the most significant keywords and expressions that appear in one or more documents, based on parts of speech, salience, or other criteria. For example, common keywords for car insurance claim email correspondence might include account, accident, hit, and injured.

Keyword Extraction Features:

Language Identification

Detect one or multiple of over 25 different natural languages in text.

Language Identification runs on the aiWARE Enterprise AI platform, which orchestrates a diverse ecosystem of ready-to-deploy machine learning models to transform audio, video, text, and other data sources into actionable intelligence, at scale, with no AI expertise. With aiWARE, leverage digital workers to save manual review time, gain valuable data insights, and cognitively enrich end-to-end workflows.

Language Identification engines in the Veritone cognitive engine ecosystem analyze text in documents, text files or transcripts to pinpoint the language(s) present. Auto-detecting language can accelerate business processes, reduce cost and improve customer engagement. Language identification also provides translation engines the source language they need

Language Identification Features:

Sentiment Analysis

Discern tone in text to classify it by emotion.

Sentiment Analysis runs on the aiWARE Enterprise AI platform, which orchestrates a diverse ecosystem of ready-to-deploy machine learning models to transform audio, video, text, and other data sources into actionable intelligence, at scale, with no AI expertise. With aiWARE, leverage digital workers to save manual review time, gain valuable data insights, and cognitively enrich end-to-end workflows.

Sentiment Analysis engines in the Veritone cognitive engine ecosystem discern the tone behind a series of written words, which helps you gain an understanding of the attitudes, opinions, and emotions expressed.

These engines classify text according to sentiment or emotion, which depending on the engine, can be a score representing the overall negative, positive, or neutral sentiment for the file and by sentence, or can include a wider breadth of tags such as “happy” or “excited.”

Sentiment Analysis Features:

Summarization

Generate a summary of all or a selected portion of a text file.

Summarization runs on the aiWARE Enterprise AI platform, which orchestrates a diverse ecosystem of ready-to-deploy machine learning models to transform audio, video, text, and other data sources into actionable intelligence, at scale, with no AI expertise. With aiWARE, leverage digital workers to save manual review time, gain valuable data insights, and cognitively enrich end-to-end workflows.

Summarization engines in the Veritone cognitive engine ecosystem generate a condensed version of a text whose length is based on a preset percentage of the original text. Summarization saves valuable time and cost compared to reviewing pages and pages of files manually, and summary results can be stored in systems of record for later search and share.

Summarization Features:

Text Extraction

Extract unstructured text and express it in a structured format.

Text Extraction runs on the aiWARE Enterprise AI platform, which orchestrates a diverse ecosystem of ready-to-deploy machine learning models to transform audio, video, text, and other data sources into actionable intelligence, at scale, with no AI expertise. With aiWARE, leverage digital workers to save manual review time, gain valuable data insights, and cognitively enrich end-to-end workflows.

Text Extraction engines in the Veritone cognitive engine ecosystem extract text from semi-structured, text-based data such as emails, text messages, social streams, PDFs or Microsoft Word documents and express that recognized text in a structured format that can then be routed, stored, searched, or analyzed.

Text Extraction Features:

Translation

Translate text in over 110 different languages and dialects.

Translation runs on the aiWARE Enterprise AI platform, which orchestrates a diverse ecosystem of ready-to-deploy machine learning models to transform audio, video, text, and other data sources into actionable intelligence, at scale, with no AI expertise. With aiWARE, leverage digital workers to save manual review time, gain valuable data insights, and cognitively enrich end-to-end workflows.

Translation engines in the Veritone cognitive engine ecosystem transform written and transcribed text from one language to another.

With specialized machine-learning algorithms for not only languages but dialects and slang, you can dramatically increase the scope of niche translation use cases.

Translation Features: