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The purpose of this project is to analyze tweets against ontologies (collection of hierarchal data).

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Ontology

Ontology is a collection of hierarchal data, collected from different sources. This data can be used for different purposes. Like analyzing tweets and against ontologies. Data is mainly categorized into following categories.

Car

This category is about Car brands including its detail like Brand name, Logos, Links etc.

Data science

This category is about Data science and its details like Elastic Map Reduce, Graph Databases, Information visualization and NoSql databses.

Lifestyle

This category is about Lifestyle interests, opinions and culture. For example Cinemas, Clothing, Eateries, Eyewear, Gyms, Jewelry, Shoes, Shopping mall, Soft Drinks, Sweets, Watches and Wines.

Newspaper

This category is about different Blogs, Magazines ,Newspaper and Tabloid.

Politics

This catogry is about Political parties and thier detials like Names, Governors, Senators etc.

Sports team

This cateogry is about Sports team like American football, Badminton, Baseball, Basketball, Cricket, Field hockey, Golf, Ice Hockey, Rugby football, Soccer, Table Tennis, Tennis and VolleyBall.

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License

The code is licensed under the Apache License Version 2.0

Questions or Suggestions

Email project.spinoza@gmail.com
Issues https://github.com/project-spinoza/ontology/issues

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The purpose of this project is to analyze tweets against ontologies (collection of hierarchal data).

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