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Machine Learning
Mobile Application
NLP
Sports Statistics Application
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4.6
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Business Requirement
The requirement was to build a system that answers specific questions or statistics related to NFL, NBA, Soccer, or any other Sports.
SOLUTIONS
- Identify the key annotations.
- Reduce filtering complexities by defining a set of rules.
- Very fast grammar parser implementation.
- Decision Tree Algorithm implementation decides which API to hit using the Chain Of Responsibility pattern to arrive at the answer
- Custom Parser Combinator that can extract out entities and conditions based on which questions shall be answered
- Stanford NLP based rules and LSTM networks were used to extract relevant key concepts from the questions.
RESULT
- Our system answers any variations of question-related to Sports. The main sports category includes NFL, NBA & Soccer. By implementing the system we are able to achieve more than 95% accuracy.
KEY TECHNOLOGIES
- ReactJS
- Java
- Swift
- Applovin
- StanfordNLP
- TensorFLow