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Vincent C's Projects

algorithm-code icon algorithm-code

Hello guys, all these are my solutions for algorithm questions. My solutions are written by JAVA or Python. I will be happy to discuss with you guys!

classify-the-spam-email-using-naive-bayes icon classify-the-spam-email-using-naive-bayes

Hello guys, in this project, I will show you how to use Naive Bayes to classify spam email. The accuracy could be 98%! If you have any question, please let me know. I am happy to discuss with you guys.

self-driving-car icon self-driving-car

Hello guys, recently, I am very interested in the promising field, which is self driving car. Therefore, I am taking some class and doing some projects in this field. I am glad to share with you guys.

sentiment-analysis-based-rnn icon sentiment-analysis-based-rnn

In this repository, I will show you guys how to use regular method to analyze sentiment text. Meanwhile, I will also compare it with RNN model.

speech-tagging-with-hidden-markov-models icon speech-tagging-with-hidden-markov-models

Part of speech tagging is the process of determining the syntactic category of a word from the words in its surrounding context. It is often used to help disambiguate natural language phrases because it can be done quickly with high accuracy. Tagging can be used for many NLP Tasks like determining correct pronunciation during speech synthesis (for example, dis-count as a noun vs dis-count as a verb), for information retrieval, and for word sense disambiguation. Hidden Markov models have been able to achieve >96% tag accuracy with larger tagsets on realistic text corpora. Hidden Markov models have also been used for speech recognition and speech generation, machine translation, gene recognition for bioinformatics, and human gesture recognition for computer vision, and more.

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