In this video, we will about training word embeddings by writing a python code. So we will write a python code to train word embeddings. To train word embeddings, we need to solve a fake problem. This ...

China proposed the Belt and Road Initiative to strengthen regional connectivity so as to embrace a brighter future together. Since the Initiative was put forward, it has brought many challenges to ...

Natural language processing (NLP) is important because it enables machines to understand, interpret and generate human language, which is the primary means of communication between people. By using ...

The project presented here involves the automated prediction of movie review sentiments from IMDB based on the Word2vec word embedding model. Sentiment analysis is one of the fundamental tasks of ...

tags: gensim, Python, WinPython, Windows, Text Classification, Natural Language Processing In this post I'm going to describe how to get Google's *pre-trained* Word2Vec model up and running in Python ...