We have a dataset of tweets that we applied TextBlob sentiment polarity and subjectivity (sample dataset is attached) we need to use this dataset to build ML model that will be able to classify the tweets into (Positive, Negative and Neutral)
Then we will train the same model using manually classified dataset
This is the first part of the project, so we don't expect to achieve high accuracy, and all the optimization will be done after using the manually classified dataset.
This is a very limited project in term of budget and time, it need to be delivered TODAY.
###PLEASE NOT POST A PROPOSAL IF YOU CAN DELIVER IT TODAY WITHIN THE BUDGET. ###
Hello please consider for the task. i am actively involved in natural language processing research for Arabic
Bu iş için 13 freelancer ortalamada $32 teklif veriyor
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Hi - This job looks like a good fit with my skill set and experience. I hold Bachelor of Computer Science and Master of Data Science Please see my profile and reviews for references.
Hi, I have a lot of experience in text mining with R. I also have a master's degree in data science. You can see my profile and my reviews to prove to you that I worked well on R projects. Your project is a challenge Daha Fazla
Hey [login to view URL] you in good health. I have read your project description ,I can work on it I am expertise in Python, C#,SQL,.NET,Full Stack Web Development,Unity3d,HTML,CSS,Blender,Android,Logo Design,Banners etc You Daha Fazla
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Hii Sir i am gulshan i want to work with you I will show you my work with all my heart I assure you to do my work before time