You can use word2vec code and collect the data from Wikipedia to train the model as you wish. It is not complicated.

Minh-Tien Nguyen Thanks for your answer.  I had tried and figured out that the problem is with Python 3.4 version. I think there are some Scipy compatibility issues. I tried to train my own model but it didn't worked and generates C compiler error. So I have installed the Python 2.7 version and its working now.

OK.

You can also use the code from Mikolov written by C.

https://code.google.com/archive/p/word2vec/

It is very simple to run.

ok Thanks.

I have been able to successfully use Word2Vec with Python 3.5.1 via gensim. I had several issues importing gensim at first, trouble caused within the MKL (Math Kernel Library) framework -- the resulting error was a fatal MKL error, claiming an inability to load two *.so files. (In fact, this was not a gensim specific issue, but an error that caused trouble with any packages which depended on the MKL framework). The fix that seemed to end these issues was to switch over to the noMKL framework following the instructions found near the bottom of the page: https://docs.continuum.io/mkl-optimizations/  

Not sure if this is the same issue you're having, but if so, I hope this helps!

Thomas Laetsch...Thanks for your explanation. My problem was not with MKL. I installed Numpy with MKL and usually if the problem is with MKL, you will have an error of Lapback/Blas while installing Scipy which I encountered while installing Scipy without MKL. I found several solutions and finally successfully installed Gensim over Python 3.4 and it worked perfectly with the pre-trained models. But when I tried to train my own model, it gave me a warning or C extension and the process took a very long time even after 24 hours, the progress was only 0.02%. Then I installed Python 2.7 and installed Gensim. Now I have successfully trained the model over Wikipedia corpus. I have noticed that the there are some Scipy compatibility issues which have been reported on several portals and advised to install an older version to avoid the errors.

For future reference you should be able to get word2vec-processed wikipedia here: https://github.com/idio/wiki2vec/. From Quora answer: https://www.quora.com/Where-can-I-find-pre-trained-models-of-word2vec-and-sentence2vec-trained-on-Wikipedia-or-other-large-text-corpus

you can train your own model using gensim (python package) and the newest english wiki.

https://radimrehurek.com/gensim/wiki.html  

you can refer to this tutorial

Training Word2Vec Model on English Wikipedia by Gensim

http://textminingonline.com/training-word2vec-model-on-english-wikipedia-by-gensim

Training a Japanese Wikipedia Word2Vec Model by Gensim and Mecab

http://textminingonline.com/training-a-japanese-wikipedia-word2vec-model-by-gensim-and-mecab

You can use Fasttext which is word2vec model developed by Facebook AI Research. Also, you can find pretrained Wiki models with Fasttext on several languages include English.

https://fasttext.cc/docs/en/pretrained-vectors.html

The following models are available for online exploration: English Wikipedia, English Gigaword , Google News corpus and British National Corpus based models can be found and downloaded from the following link

http://vectors.nlpl.eu/explore/embeddings/en/models/

In the following links usage cases can be found :

Conference Paper BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word E...

Thesis Applying Machine Learning and Natural Language Processing Te...

Conference Paper Turkish tweet sentiment analysis with word embedding and mac...

Can try to download from: https://fasttext.cc/docs/en/pretrained-vectors.html

Thank you.