Labelling and Sentiment Analysis of Twitter Dataset( json format) in Python

I have a twitter dataset of Indian general election 2014. The dataset is in 3 different folders based on the main issues for the 2014 election that are Corruption, Economy and Development. For each issue tweets are collected date-wise and stored properly specifying the time like before election, after election and election time. All the files are in json format.

Now I want the categorization or labelling of this dataset into 4 parties that are:

1. BJP

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3. AAP

4. Others

Now, as this data is general public data, so for categorization there are some keywords, hashtags and mentions which I have analysed using dataset and will be used for different parties identification. So I need a script which can categorize this and after that can tell that a particular tweet is positive, negative or neutral for that party.

I am uploading one file of a particular date of one issue for reference. All the dataset is in this format. Just check it and if able to do this please contact me.

Thank you in advance.

Data Analytics Machine Learning (ML) Natural Language Python

Project ID: #18948740

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