Description Unit 2 - Individual Project Task Type: Individual Project Deliverable Lengt ...

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Description Unit 2 - Individual Project Task Type: Individual Project Deliverable Length: One Python Program (100-200 lines) and a CSV that contains a generated column Points Possible: 100 Description: During your second Individual Project (IP), you will utilize your Python environment to derive structure from unstructured data. You will utilize the data set "Airline Sentiment" from Kaggle open data sets located at https://www.kaggle.com/welkin10/airline-sentiment. Using this data set, you will create a text analytics Python application that extracts themes from each comment using term frequency-inverse document frequency (TF-IDF) or simple word counts. For the deliverable, provide your Python file and a .csv with your results added as a column to the original data set. Please submit your assignment. For assistance with your assignment, please use your text, Web resources, and all course materials. Reference Akash. (2017). Airline sentiment. Retrieved from https://www.kaggle.com/welkin10/airline-sentiment Course Objectives: · Discuss the main functions of each component of the Hadoop framework Model Answer: Students should utilize Python to create a Python Application that processes each record to generate a list of key terms within the corpus. Then, this could be matched back to the comment to see if the key term exists in each comment.