Abstract:
In this Project we tend to explore the concept of text classification and data scrapping
to detect the fake ads posted on Pakwheels.com, basically two types of ads which a
normal person is unaware of, fake and genuine ads, fake ads are the ones posted by
dealers and genuine ads are posted by original sellers, by using scrapping algorithms
and the concept of text classification we will be detecting the fake ads. More the 90%
people are dealers on Pakwheels.com. The system will apply the series of algorithms in
achieving this goal. Data preprocessing, feature extraction, training a model. We will
be training the model using the different models, Naïve Bayes, Support Vector
Machine (SVM), Neural Network, Long Short-Term Memory (LSTM) and the
algorithm with the best accuracy will be used in our system.
