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 ...

Abstract: Professional customer service to solve or circulate corresponding customer problems can not only solve customer problems quickly, improve the service image of the enterprise, but also lay a ...

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 ...

Abstract: Humans are precise in recognizing natural languages and responding contextually unlike machines. However, speech recognition or Automatic speech recognition often refers to converting human ...

Drug discovery is an academical and commercial process of global importance. Accurate identification of drug-target interactions (DTIs) can significantly facilitate the drug discovery process.

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 ...