GitHub - Stralle/Twitter-semantic-analysis: Semantic analysis of 100k Tweets. It's made in Python. It's developed by a friend of mine (@nvkvc) and me. We used NLTK and NUMPY libraries. The algorithm we used for solving this problem was Weighted K-Nearest Neighbors. The data set is divided 60-20-20(training-validating-testing). This was a first project at Machine learning course at Faculty of Computer Science in Belgrade.

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Semantic analysis of 100k Tweets. It's made in Python. It's developed by a friend of mine (@nvkvc) and me. We used NLTK and NUMPY libraries. The algorithm we used for solving this problem was Weighted K-Nearest Neighbors. The data set is divided 60-20-20(training-validating-testing). This was a first project at Machine learning course at Faculty…