Movie Retrieval System using NLP Models
Miguel J. Garrido
Natural Language Processing - Movie Retrieval System
Project Overview
The objective for this proejct is to retrieve a list of movies giving a given query as the task demands and to compare the effectiveness of different methods and their original versions versus their enhanced versions, in order to achieve this, we are going to use techniques like precision and recall.
Features
Different NLP models for movie retrieval.
Scrapes and processes over 1200 movie scripts.
Evaluates retrieval performance with precision and recall metrics.
Datasets
Over 1200 movie scripts scraped from "https://imsdb.com/".
Technologies Used
Python
Natural Language Processing (NLP)
Web scraping
Neural network
RStudio
More Information For detailed documentation, refer to the Project Documentation (PDF)
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Posted Nov 4, 2024
Movie retrieval systems using different NLP techniques. It scrapes over 1200 movie scripts and then evaluates and compares performance of retrieval models.
