TwitterSentimentAnalysisinPython

$30-250 USD

Cancelled

Posted

over 6 years ago

$30-250 USD

Paid on delivery

-- Access the twitter Application Programming Interface (API) using python. -- Using sentiment analysis, try to find which car brand customers share more positive tweets than others. For example for the “#toyota” keyword, you will print the percentages/numbers of positive, negative, and neutral tweets of 250 tweets you parse.

Java

Machine Learning (ML)

Python

Software Architecture

Web Scraping

Project ID: 15744687

About the project

5 proposals

Remote project

Active 6 yrs ago

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5 freelancers are bidding on average $161 USD for this job

@ziaurr3hman

I'm Perfect at Scraping Big data from Websites to Spreadsheet or to some Database Relevant Skills and Experience: I'm Good at Java, Machine Learning, Python, Software Architecture, Web Scraping Proposed Milestones: 235 - Twitter Sentiment Analysis in Python manisharaog, Please Send Me a message so that we can discuss more about this project.

$235 USD in 5 days

5.0

(13 reviews)

5.2

@pradeepred

Have 4 years of experienece in Python development in web scraping,sentimental analysis,natural language processing,pandas ,diagrams etc. Earlier I have done sentimental analysis for movie reviews and yelp dataset

$138 USD in 3 days

5.0

(8 reviews)

3.8

@plikitik123

i will create this as fast as possible Relevant Skills and Experience nodejs,python,sentiment analysis Proposed Milestones $277 USD - it will be done

$277 USD in 3 days

5.0

(9 reviews)

3.6

@samithdisal

A single python module which had separate functions for each steps. A bash script for initiating environment including NLTK data files.

$55 USD in 3 days

5.0

(4 reviews)

1.9

@andayac

Create csv with major car dealers sentiment analysis scores from twitter. Will find tweets by keyword in a live stream and analyze tweet with TextBlob Library Relevant Skills and Experience Python developer with 3+ years of experience Proposed Milestones $60 USD - File with Toyota sentiment analysis(from tweets) with count of positive, negative and neutral tweets $40 USD - File with as many dealers and as many tweets as you need with sentiment analysis and count

$100 USD in 1 day