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Sentiment Analysis: approximating Word2Vec results with SPPMI-SVD
Repository for the word embeddings experiments described in "Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource", presented at LREC 2016.
Rain fields show complex behavior that is difficult to reproduce with physical models while data-driven approach can be beneficial in a number of applications. Python was the programming language for this project. I implemented a methods from scratch using basic linear algebra tools available in NumPy/SciPy packages.
Repositories
6Sentiment Analysis: approximating Word2Vec results with SPPMI-SVD
Repository for the word embeddings experiments described in "Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource", presented at LREC 2016.
No description provided.
No description provided.
No description provided.
Rain fields show complex behavior that is difficult to reproduce with physical models while data-driven approach can be beneficial in a number of applications. Python was the programming language for this project. I implemented a methods from scratch using basic linear algebra tools available in NumPy/SciPy packages.