We have a list of product reviews as well as Q&As and require the text to be analyzed for common phrases. The key is to use more than word analysis, and instead use co-occurrences of bigrams and trigrams. If you are familiar with CountVectorizer then this will be a very easy project. A basic word cloud using single word counts will not be accepted as a deliverable for this project.
We will award multiple freelancers for this project, select the one who does the best, and then offer regular projects along the same lines
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are you looking for topic modelling from the reviews, bi gram words and n gram words. The topics can be shown in the form of a word cloud. I have a working topic modelling python code
I want to do this project , i have done a project of finding whether the person gave a positive or negative review, thats similar to it and want to try doing this for you.
Done sentiment analysis on conference call transcripts before by Ingram, trigram, and phrases. Relevant Skills and Experience Python, sentiment analysis with nltk