hi
I am doing small project for my Uni. I need to do a text mining and tried do do clustering based on text feedback to make 2 clusters: positive, negative (feedback). Can you help me with that?
Does it need to be added extra column in Data Source? I tried to use text cluster, text Rule Builder, Text Parsing, Text Filter. It looks like my knowledge is not enough to do this, but I have no choice and need to finish it.
I have columns listed as :
| Review id | Hotel Name | Total review count | Review Date | Review_viaMobile | Guest Location | Review Heading | Review |
Have attached sample data.
your help will be much appreciated.
thanks.
slawpast
The following youTube video by Dr. Jim Cox, there is an example (at 5 minutes mark) about finding comments Sentiments as user topic using "sasmpsio.afinn_sentiment" dataset: https://www.youtube.com/watch?v=IgveqWgl7fI.
Hope that helps.
thank you for your answer. Well, it`s not really helpfull. I was looking for something step by step guide with more details. I will do simple clustering instead.
Thank you for your help
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Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
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