Build text classification models ( CBOW and Skip-gram) with FastText in python

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FastText has been open-sourced by Facebook in 2016 and with its release,it became the fastest and most accurate library in Python for textclassification and word representation. It is to be seen as a substitutefor gensim package's word2vec. It includes the implementation of twoextremely important methodologies in NLP i.e Continuous Bag of Words andSkip-gram model. Fasttext performs exceptionally well with supervised aswell as unsupervised learning.The tutorial will be divided in following four segments :