Machine learning to classify company names to their industries
Not sure what you want.
If the point is to use just company names, maybe break names into syllables/phonemes, and train on that data.
If the point is to use Word2Vec, I'd recommend pulling the Wikipedia page for each company (easier to automate than an 'about me').
What I'm trying to do is to ask the user to input a company name, for example Microsoft, and be able to predict that it is in the Computer Software industry. I have around 150 000 names and 60+ industries. Some of the names are not English company names.
I have tried training a Word2Vec model using Gensim based on company names only and averaged up the word vectors before feeding it into SKlearn's logistic regression but had terrible results. My questions are:

Has anyone tried these kind of tasks? Googling on short text classification shows me results on classifying short sentences instead of pure names. If anyone had tried this before, mind sharing a few keywords or research papers regarding this task?
Would it be better if I have a brief description for each company instead of only using their names? How much would it help for my Word2Vec model rather than using only the company names?