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

$30-250 SGD

Cancelled

Posted

over 7 years ago

$30-250 SGD

Paid on delivery

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.

Java

Linux

NoSQL Couch & Mongo

Software Architecture

Twitter

Project ID: 12597054

About the project

3 proposals

Remote project

Active 7 yrs ago

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3 freelancers are bidding on average $130 SGD for this job

@abubakar4248

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 am professionally software engineer(Present) having 2 year experience in this field you can check my portfolio. i will feel confidence to work with you....! we can discuss more details in chat... feel free to contact me... Thanks

$80 SGD in 2 days

5.0

(4 reviews)

2.6

@jailo

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 project.

$200 SGD in 5 days