yanismiraoui/Analyzing-sports-commentary-in-order-to-automatically-recognize-events-and-extract-insights
Investigate how we can use multiple different Natural Language Processing techniques and methods in order to automatically recognize the main actions in sports events
This project helps sports analysts, journalists, or coaches automatically identify key actions like goals, fouls, or substitutions from live sports commentary. It takes raw text commentary, cleans it, and classifies major events. The output provides structured data on significant moments in a game, allowing for quicker insights and analysis without manual review.
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Use this if you need to quickly extract and classify major event highlights from large volumes of live sports text commentary.
Not ideal if your primary need is real-time, low-latency event detection during live broadcasts for immediate tactical decisions, as this focuses on post-event analysis.
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Last pushed
Jul 21, 2023
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