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Sentiment Analysis + Topic Detection on Tweets (data from MongoDB)

I have crawled a number of tweets (based on different hashtags (more than 200 hashtags crawled)) and have grouped them into 20 different collections in one database. I'm using MongoDB.

The fields that I have crawled are:

- twitter username

- tweet

- location

- date & time

I will give you the data and I want you to help analyze the topic of each tweet and do a sentiment analysis on each tweet. Create new fields inside the database to store these new data.

I will need to visualise the data into a website afterwards, thats why I need to analyze positive and negative tweets to create useful stories later.

Compétences : Java, Linux, NoSQL Couch & Mongo , Programmation, Architecture Logicielle

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Concernant l'employeur :
( 12 commentaires ) Singapore, Singapore

N° du projet : #12597331

Décerné à :

jailo

A proposal has not yet been provided

14 $ SGD en 3 jours
(26 Commentaires)
0.0