Modelling for similarity between two descriptions I have a dataset of companies and research projects that they were involved in. A subset of the dataset is shown below.

I am trying to find a way to model similarity between the company and the research projects using this description.
For each pair of descriptions, I would like to output a number, similar to cosine similarity, which will indicate how similar the description in second column is, to the project title in third column.
How can I go about this?
Thanks in advance!
So the questions asks for how to compute similarity between the organisation description and project titles.
One initial thought would be to use a Doc2Vec model (concept, implementation), which will take the organisation descriptions and project titles as input and output a n-dimensional vector in semantic space for the given text.
From this, you can at least has a baseline which you can use with cosine similarity to see how similar the organisation description is to the project title.