Inspiration

The dataset is very valuable as it can be used to answer the following questions:

1.Create a classification model that uses text data features and meta-features and predict which job description is fraudulent or real. 2.Identify key traits/features (words, entities, phrases) of job descriptions which are fraudulent in nature.

  1. Run a contextual embedding model to identify the most similar job descriptions. 4.Perform Exploratory Data Analysis on the dataset to identify interesting insights from this dataset.

What it does

About Dataset [Real or Fake] : Fake Job Description Prediction This dataset contains 18K job descriptions out of which about 800 are fake. The data consists of both textual information and meta-information about the jobs. The dataset can be used to create classification models which can learn the job descriptions which are fraudulent.

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