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1. www.imdb.com › title › tt4972582Split (2016) - IMDb

   www.imdb.com › title › tt4972582

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   20 sty 2017 · Split: Directed by M. Night Shyamalan. With James McAvoy, Anya Taylor-Joy, Betty Buckley, Haley Lu Richardson. Three girls are kidnapped by a man with a diagnosed 23 distinct personalities. They must try to escape before the apparent emergence of a frightful new 24th.

   • Awards

     Split (2016) - Awards, nominations, and wins. Menu. Movies....

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     Split (2016) - Movies, TV, Celebs, and more... Menu. Movies....

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     Split. IMDb rating. The IMDb rating is weighted to help keep...

   • M. Night Shyamalan at an Event for Split (2016)

     M. Night Shyamalan at an event for Split (2016)

   • See Full Cast and Crew

     Split (2016) cast and crew credits, including actors,...

   • Jessica Sula, Haley Lu Richardson, and Anya Taylor-Joy in Split (2016)

     Jessica Sula, Haley Lu Richardson, and Anya Taylor-Joy in...

   • James McAvoy and Anya Taylor-Joy in Split (2016)

     James McAvoy and Anya Taylor-Joy in Split (2016)

   • James McAvoy at an Event for Split (2016)

     James McAvoy at an event for Split (2016)

2. medium.com › analytics-vidhya › data-analysis-end-to-end-imdb-dataset-2b6d9976ebc2Data Analysis End-to-End IMDb dataset | by Ognish Banerjee -...

   medium.com › analytics-vidhya › data-analysis-end-to-end-imdb-dataset-2b6d9976ebc2

   29 lip 2020 · I thought of writing a detailed explanation of my analysis of the very popular yet common dataset on the IMDB movie rating.

3. arxiv.org › pdf › 2005arXiv:2005.14147v3 [cs.CY] 6 Sep 2020

   arxiv.org › pdf › 2005

   Analysis of the information on Internet Movie Database - IMDb, either those related to the movie or provided by users, would help to reveal the determinative factors in the route of success for each movie.

4. www.scribd.com › document › 643081831Final Project1 IMDB Movie Analysis PDF | PDF - Scribd

   www.scribd.com › document › 643081831

   This document outlines a final project analyzing an IMDB movie dataset. It includes: 1) Cleaning the raw data by removing missing values, duplicates, and inconsistencies. 2) Exploring the cleaned data through descriptive statistics and visualizations to identify trends, patterns, and relationships between variables like highest grossing movies.

5. www.researchgate.net › publication › 378691218_Sentiment_Analysis_of_IMDb_Movie(PDF) Sentiment Analysis of IMDb Movie Reviews Using Traditional...

   www.researchgate.net › publication › 378691218_Sentiment_Analysis_of_IMDb_Movie

   3 mar 2024 · This research paper presents a comprehensive comparison of traditional machine learning techniques and advanced transformer-based models for IMDb movie reviews sentiment analysis.

6. codingnomads.com › blog › data-analysis-example-analyzing-movie-ratings-with-pythonData Analysis Example: Analyzing Movie Ratings with Python

   codingnomads.com › blog › data-analysis-example-analyzing-movie-ratings-with-python

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   The data in this example consists of movie ratings from Twitter since 2013, updated daily. The data was created from people who connected their IMDB profile with their Twitter accounts. Whenever they rated a movie on the IMDB website, an automated process generated a standard, well-structured tweet. These well-structured tweets look like this:

7. cs229.stanford.edu › proj2020spr › reportSentiment analysis of IMDb reviews - Stanford University

   cs229.stanford.edu › proj2020spr › report

   The report aims to classify the sentimental representations of Internet Movie Database (IMDb) reviews via machine learning based classification on document level. The report will first remove the stop words and normalize words in the IMDb reviews to better the performance of the classification.