Analyse social media text with sentiment analysis
Budget: $100 – $200 USD
Hello! I am looking from a programmer that will do in Python 3 a tool that will:
- take phrase as input (some product name like Nike Air Max)
- search for it social media (Twitter - but can be any other social site with texts) and get its texts
- downloaded texts should be divided by publication day
- the tool should then do sentiment analysis of that texts and generate a diagram how sentiment changed in time
- users should have option to set the time scope of the analysis
- some simple web gui should be made for it and I hope that you will run in on my PC with Ubuntu 18.04
- take phrase as input (some product name like Nike Air Max)
- search for it social media (Twitter - but can be any other social site with texts) and get its texts
- downloaded texts should be divided by publication day
- the tool should then do sentiment analysis of that texts and generate a diagram how sentiment changed in time
- users should have option to set the time scope of the analysis
- some simple web gui should be made for it and I hope that you will run in on my PC with Ubuntu 18.04