News, articles and social media sentiment analysis

Question

1.00/5 (1 vote)

See more:

I am currently working on a project related to sentiment analysis, my project is basically to search for a word on the web and get every news and every article from social media and websites then organize them and apply sentiment analysis and machine learning on them to specify whether the text is good or bad or neutral or etc., I want to gather both historical news and real-time news, how do you recommend approaching this issue

What I have tried:

I have tried webscraping in python but I could not automate it and get huge sets of data

Posted 14-Feb-21 1:45am

Member 15072423

Updated 14-Feb-21 3:24am

Add a Solution

1 solution

Add a Solution

Add your solution here

Treat my content as plain text, not as HTML

Preview 0

…

Existing Members

Sign in to your account

...or Join us

Download, Vote, Comment, Publish.

Your Email
Password
Forgot your password?

Your Email
This email is in use. Do you need your password?
Optional Password

I have read and agree to the Terms of Service and Privacy Policy
Please subscribe me to the CodeProject newsletters

When answering a question please:

Read the question carefully.
Understand that English isn't everyone's first language so be lenient of bad spelling and grammar.
If a question is poorly phrased then either ask for clarification, ignore it, or edit the question and fix the problem. Insults are not welcome.
Don't tell someone to read the manual. Chances are they have and don't get it. Provide an answer or move on to the next question.

Let's work to help developers, not make them feel stupid.

This content, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Richard MacCutchan · Answer 1 · 2021-02-14T03:24:00

Solution 1

Use a proper search engine like Google, which provides information via its APIs; see Google APIs Explorer | Google Developers[^].

Posted 14-Feb-21 3:24am

Richard MacCutchan