Hi, I need someone to develop a python sentiment analysis of tweets based on dictionary. I have a tweet dataset (json) and a dictionary (txt) with values for each word.
The task is to perform a sentiment analysis and sort the tweets according to their popularity (most positive first).
PRICE CAN BE NEGOTIATED, I prefer option 2 - a full solution, well paid.
Option 1) Develop just the sentiment analysis and sort with my sample data. - X€
Option 2) Develop a tweet scraper taking into account a keyword (e.g., product name contained in tweets), sentiment analysis and any kind of graphical visualization. - XXX€
30 freelancers are bidding on average $190 for this job
can write you script which will fetch tweets , sort them according to your keywords and present data as .csv format file. Having such tool as excel , you can build yourself any visualisations you want .
Hello! I am a python developer. I looked at your project and it seems interesting. I have all necessary skills required for this project. Ping me to discuss in detail.