This blog post summarizes my work done during the Google Summer of Code 2017. My task was to implement topic modeling visualizations which could help users to interactively analyze their topic models and get the best out of their data. I worked on adding two types of visualizations: 1. To monitor the training process of LDA with the help of …
19th August 2017 For last phase of my project, i’ll be adding a visualization which is an attempt to overcome some of the limitations of already available topic model visualizations. Current visualizations focus more on topics or topic-term relations leaving out the scope to comprehensively explore the document entity. I’d work on an interface which would allow us to interactively …
Comparisons to Word2Vec and FastText with TensorBoard visualizations. With various embedding models coming up recently, it could be a difficult task to choose one. Should you simply go with the ones widely used in NLP community such as Word2Vec, or is it possible that some other model could be more accurate for your use case? There are some evaluation metrics …
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