Machine Learning & AI Solutions

Machine Learning & AI Solutions

10 / 100 SEO Score

Contextual Analysis & Classification, Named Entity Extraction, Deep Learning, Image Processing, Brand Safety & Sentiment Analysis

The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as language detection, tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing and coreference resolution.

Google Cloud NLP

Natural Language uses machine learning to reveal the structure and meaning of text. You can extract information about people, places, and events, and better understand social media sentiment and customer conversations. Natural Language enables you to analyze text and also integrate it with your document storage on Cloud Storage.

TextRazor

Extract Meaning Of Your Text. The TextRazor API helps you extract the who, what & how from your Surveys/Emails/Tweets/Legal Documents/news stories with unprecedented accuracy & speed.

Google Cloud Vision

Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more.

Tensorflow

TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.

Microsoft Cognitive Services

Cognitive Services are a set of machine learning algorithms that Microsoft has developed to solve problems in the field of Artificial Intelligence (AI). … Web and Universal Windows Platform developers can consume these algorithms through standard REST calls over the Internet to the Cognitive Services APIs

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