Problem Statement
The term ‘fake news’ refers to misinformation spreading in the country through word of mouth and traditional media as well as more recently through digital methods of communication including edited videos, memes, and unconfirmed advertisements spread through social media.
The authenticity of information is a longstanding concern for businesses issue affecting businesses and society, society, regardless of whether it is printed or digital. Using social networks, the reach and effects of information spread occur at such a Rapid pace, and pace and so amplified That even the most distorted, inaccurate, or false of information can have real-world consequences, within minutes for millions of users. Recently, several public concerns regarding this issue, and some approaches to mitigate the problem were expressed.
Value Proposition
- Citizens- Citizens use this tool to identify fake news or they will see the source of fake news and take alert on email the content of fake news.
- Government- Concern government Authority will use this model to identify the source of the fake news and take immediate action.
- Publishers- They will identify if someone using his broadcast name for unauthenticated propaganda.
Solution Strategy
Data Crawling & Scrubbing
- •Data Crawling, Parsing & Filtering
- •Linguistic features, Feature Modelling
- •Robust Metadata based Repository
Statistical Modelling
- •Naïve Bayes
- •Logistics Regression
- •SVM
- •Stochastic Gradient Classifier
- •Random Forest Classifier
Intelligent Analytics
- •Sentiment tonality such as Positive, Negative and Neutral based on the polarity of the words.
- •identify trends or emotional changes.
- •Sentimental KPIs & Graphical Representation