Twitter sentiment analysis web app, json, django, docker
$10-30 CAD
Paid on delivery
A city anomaly detector about electricity, water and bus infrastructure from tweets to indexing it to Apache solr on docker containers. It will get tweets from twitter API then clean and label them, use nltk tweepy library etc. Build on docker container. Has to ve available with a website interface using json.
Project ID: #16784192
About the project
3 freelancers are bidding on average $30 for this job
I have extensive experience in Python programming and NLTK. I am familiar with different aspects of natural language processing, word tokenizing, sentence tokenizing, sentence tense, etc.
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