Natural Language Processing and computer vision API. The goal is to enable non machine learning specialists to leverage the advantages of various nlp/ computer vision use cases using an easy interface. Our goal is to offer a toolkit enabling low cost integration of machine learning capabilities in the business use cases
The API offers 3 scenarios:
- Sentiment analysis: Deriving sentiments in sentences (positive, negative, neutral), in articles or in a stream of data such as tweets or product reviews.
- Named entity recognition: Identifies predefined entities in a given text such as Date, Person, Location ...
- Clothing classification: Identifies clothes type (coat, pants, jean, necklaces ...) from a given input image
The application offers 3 use cases each accessibe through an easy to use interface.
Simply go to http://marabou.herokuapp.com/
For a simple interface in which you type an expression and get a classified output based on the text semantics,
- Inserting the text you want to analyse
- You receive a probability for a positive review
You got a text containing several entites you'd like to classify (geographical, data, persons, ...)
- Inserting the text you want to analyse
- The text will be tokenized and each word will be assigned a category
The toolkit support clothing type detection. For that you need to go to "Deep Fashion" classifier. This is a ML program using state of the art deep learning algorithms to detect what kind of clothing is in the image
- upload the image you want to detect
- the program will analyse the image and feedback the clothin category: jean, skirt, shirt ...
If you wish to have your code automatically checked for quality before every commit, you can activate the githook
Under the git repo type git config core.hooksPath .githooks/
Please do not hesitate to send your questions/remarks to: azzouz.marouen@gmail.com