Webtunix AI

Webtunix AI is an emerging technology company that provides machine learning and data science services to businesses using publically available data to the web. With Machine Learning, Webtunix analyzes user behaviour and builds relevancy models that learn and improve as data, content and user activity grows and evolves. According to the client’s perspective, these technologies help in two ways: by understanding the Intent behind the query itself, based on content and by delivering highly relevant results from search queries. Machine Learning features Include: 1.Sentiment analysis and automated classification of unstructured content. 2.Behavioural analytics from frequency, past actions or actions of similar users. 3.Comparisons of Unstructured Content (titles, descriptions, article leads etc.) for downstream analysis or end-user applications. 4.Recommendations: Contextual information based on preferences, user behaviours and content similarities 5.Relationships between content items based on metadata, topics, concepts, genres or entities (such as names of people, organizations and locations)

Metropolitan, California
Founded in 2015
51-200 employees

Webtunix AI is an emerging technology company that provides machine learning and data science services to businesses using publically available data to the web. With Machine Learning, Webtunix analyzes user behaviour and builds relevancy models that learn and improve as data, content and user activity grows and evolves. According to the client’s perspective, these technologies help in two ways: by understanding the Intent behind the query itself, based on content and by delivering highly relevant results from search queries. Machine Learning features Include: 1.Sentiment analysis and automated classification of unstructured content. 2.Behavioural analytics from frequency, past actions or actions of similar users. 3.Comparisons of Unstructured Content (titles, descriptions, article leads etc.) for downstream analysis or end-user applications. 4.Recommendations: Contextual information based on preferences, user behaviours and content similarities 5.Relationships between content items based on metadata, topics, concepts, genres or entities (such as names of people, organizations and locations)

Company Information

Industry
Company Type
Privately Held
Founded
2015
Employee Range
51-200
Revenue Range
Not available

Location

Address
City
Metropolitan
Region
California
Postal Code
10001
Country
United States

Web Presence

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