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Fake Content Detection Using CNN-RNN Machine Learning Models

The method is to detect the existence of fake news messages in posts using novel keyword, linguistic and semantic representations. Such content will be detected from text and images contained within the posts on Twitter

Attached is the Project Requirements and related publications would serve as a guide in the implementation and a pointer as to the level of implementation quality expected

Evner: Algoritme, Datasøgning, Maskinoplæring, Python, Twitter

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Om arbejdsgiveren:
( 3 bedømmelser ) United Kingdom, United Kingdom

Projekt ID: #15753412

Tildelt til:

sourindu

Hey I have done projects related to sentiment analysis and have immense knowledge in this field. I already have the working interface for collecting data from Twitter posts. just have to use a different classifier. I h Flere

£100 GBP in 20 dage
(1 bedømmelse)
1.4

4 freelancere byder i gennemsnit £98 på dette job

£166 GBP in 14 dage
(20 bedømmelser)
4.6
£38 GBP in 10 dage
(5 bedømmelser)
2.1
RenoLei

Hi there, This project looks so funny. Before those papers, I suspect I need to use NPL to solve this kind of problem. The difficulty of this task is depends on the data you provided. Thanks, Reno Relevant Skills Flere

£88 GBP in 10 dage
(1 bedømmelse)
1.0