Main idea of project:
Collect samples of tweets from twitter and then try to use Natural Language Processing(NLP) algorithms to analyse the data and look for the physiologic indicators. Classify the tweets according to the physiologic behavior individuals.
1. It should have 2-3 algorithms to collect the tweets & 2-3 algorithms to analyze the tweets. Finally, It should have 4-5 algorithms in total.
2. What algorithms did you use and what is the result of the analysis after using Linguistic Inquiry and Word Count(LIWC) library?
3. Which algorithm is producing the accurate result?
4. Either it should append the previous tweets to the current set of tweets OR It should collect more than 1 million tweets.
5. Plot those results in a graph.
15 freelancere byder i gennemsnit $221 på dette job
I have already made the same twitter data sentiment analysis project for myself. I have strong hold on NLP . I will give you a complete web app that will fulfill all the requirements mentioned by you.