Social and Online Media Toolset - Data Collect, Analyse, Classify and Platform-Specific Parsing

$30-250 USD

Cancelled

Posted

about 5 years ago

$30-250 USD

Paid on delivery

We need a simple Linux-based social media and online media toolset. Ideally Python3 but open to other suggestions. Toolset must scrape content, do NLP and sentiment analysis, collect data and useful statistics, classify and contextualize and timeline; and ideally parse extant data into platform-specific output e.g. Twitter tweets, Reddit posts, mainstream/online media comments, Google notifications, etc.

Natural Language

Python

Social Media Marketing

Software Architecture

Web Scraping

Project ID: 18773090

About the project

5 proposals

Remote project

Active 5 yrs ago

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5 freelancers are bidding on average $163 USD for this job

@contactvidura

Hi, I read your job posting carefully and I'm really interested in this task. Having a great experience with all the requirements you have mentioned I would be the right candidate for this task. Awaiting an affirmative response from you. Thanks, Nirmal Vidura

$200 USD in 2 days

5.0

(129 reviews)

5.4

@elisafan

Hi there. I see you are looking for a python nlp module. I am a python developer with 4 years experience. If selected, I will build an nlp module using nltk and python3. I have done sentiment analysis before using tweepy and nltk. looking forward to discussing this further with you. Thanks, Elisafan Wathuo.

$277 USD in 10 days

5.0

(1 review)

0.6

@Dipaknannnvare

Hi sir I am DipakNannnvare and I am English language Translated in Hindi very well .so please Sir Related to my skill project so please give me a Working chance with us.

$155 USD in 3 days