Challenge description:
You work as a data analyst for FunMovie Inc., a movie and series producer specialized in comedy shows. FunMovie Inc. is also the producer of "The Office", a mockumentary sitcom television series that depicts the everyday work lives of office employees at a branch of a fictional paper company. After the great success of the sitcom, FunMovie Inc. would like to take a data-driven approach to understand what makes the sitcom so likeable and popular among the audience. The assumption is that the dialogues and the interactions between characters are the key selling points.
Hence, your manager tasks you with creating an interactive dashboard that displays the interactions between the most important characters. You can choose how to determine an interaction (e.g., if two or more characters appear in the same scene) and a metric of its intensity (strong/weak). Your manager expects to see at least 5 different visualizations of the interactions. Additionally, your manager would like to understand the sentiment of those interactions.
Key requirement: you must use the nodes of the Network Mining extension for at least one of the visualizations: https://hub.knime.com/knime/extensions/org.knime.features.network/latest/
Outcome:
An interactive dashboard displaying key characters' interactions throughout the show, as well as the sentiment of those interactions.
Deliver your solution as a separate workflow and name it: Solution_Round_4_
Teams are strongly encouraged to submit high-quality work in order to improve their chances of getting maximum points. Don't be afraid to go the extra mile! :)
Dataset:
The Office (US) - Complete Dialogue/Transcript from Kaggle: https://www.kaggle.com/datasets/nasirkhalid24/the-office-us-complete-dialoguetranscript
Deadline:
April 7, 2024 (submission by 11:59 PM CET) **. Check the calendar of the tournament: https://info.knime.com/game-of-nodes
** We will verify the date and time of the latest edits.
KNIME Game of Nodes:
Rules, Assessment Criteria & FAQs: https://info.knime.com/game-of-nodes
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