Sentiment Analysis & Topic Detection from database (MongoDB) based on Tweets

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 , Architecture Logicielle, Twitter

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

Nº du projet : #12597054

3 freelance font une offre moyenne de $130 pour ce travail

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Hi... i read the descriptions and understand i have lot of expertise in mongo DB i will provide quality work according to your requirement in given time period i will work on our project until you satisfy i Plus

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Going through with the requirements, in brief, I would like to take your project onboard. I am an independent and professional developer with 100% completion rate. Please knock me for a instant discussion about the pro Plus

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