11/21/2023 0 Comments Antz movie script![]() But not Z (voiced by Woody Allen), the neurotic, nattering, narcissistic exception.Īllen, as an ant in analysis, is frankly more annoying than amusing. It is the Ant Way, and most accept the system, which has served the species so well lo these thousands of years. In "Antz," the Queen (regally voiced by Anne Bancroft), Princess Bala (voiced by Sharon Stone) and their courtiers lounge about in the upper realms, while the drones, workers and soldiers labor in the tunnels deep below. The scene, like some aspects of the story, recalls "Metropolis," a social allegory about a tyrannical ruling class and the workers who toil in the totalitarian underground. On the other hand, the anthill itself is a spectacularly animated series of caverns, a subterranean realm humming with industry. These critters look more like those big-eyed, Gumby-like gray aliens. The animation might not have been such a problem, however, if these creepy crawlies had more appealing character traits. The first of two computer ant-imated features for fall, this little flick from DreamWorks is beating Disney's "A Bug's Life" to the screen by several weeks.Īlthough the movies share similar story lines idiosyncratic ant saves the hill from enemy hordes Disney's bugs look funnier, funkier and more traditionally cartoonish than the more authentically drawn arthropods of "Antz." While "Babe" made you want to give up bacon, "Antz" will make you reach for the Raid. Gend_distribution_plot.py - Gender distribution.Woody Allen voices the character of Z-4195 in "Antz." Movie_info.py - Movie information e.g scene location, time of day ccurences for each scenes, Xter_interaction.py - visualize character intercation mapping,Įmotions.py - Emotional arcs and sentiment analysis on movie and the script, Imsbd_moviescript_scraper_AND_Scene_Segmentation.py, - scraped html text from IMSDB database and segmented Movie into scenes,ĭialogue_appearance.py - dialogue appearances,Ĭharacters_extract.py - extract characters and visualize the number of times they appeared, ![]() > This gives us the character's emotion when he/she appears in the movie.Īdditional Scene Informations -> Exact Scene Locations, Scenes with dialogs and no dialogs, Scenes that occurred during the Day or in the Night, Scenes location based on Outdoor or Indoor appearances. Similar to Number 5., Here looked at who a specific character talks with the most in the Movie.Įmotional and Sentiment Analysis across the whole movie and for each individual character, However for this project we limited it to only the Top 10 characters. ![]() Here, we looked at the Most mentioned character based on the Scene dialogues and also the characters each character mention the most in their conversation. INT / EXT)"Ĭharacter extraction and appearances plot -> Here, characters were plotted based on how many times they appeared and spoke in each scene and across the movie.Ĭharacter Interaction Mapping -> We mapped out the connection between all the characters in the movie and also the interaction between the Top 10 characters in the movie. Movies segmentation into Scenes -> Scene Location, Scene Action/Description, Scene Dialogues, Scene Characters (All the movies scraped were segmented except those that do not follow the "Screenplay format i.e. Web scraping of the movie scripts (Over 1000+ movies were scraped from IMSDB website) ![]() To actualize this project, the following objectives were executed sequentially: This is because the plotly graphs cannot be viewed in github. Highly recommended for visualization: The graphs/plots for the 20 Movie Scripts can be viewed using this link: The aim of this project is to provide detailed insights into different movies analyzed focusing on the characters, their dialogues, scene locations, emotional and sentiment analysis of the whole movie and the individual characters, character's interaction with one another and finally gender distribution in the each of the movie analyzed.ġ000+ movie scripts were scraped from IMSDB Database and segmented into SCENE LOCATIONS/NAMES, SCENE ACTIONS, SCENE CHARACTERS AND SCENE DIALOGUES.Ģ0 Movies Script Visualizations (based on in-depth analysis) were done, these scripts were Randomly chosen from the 1000+ movie script I segmented to TEST the authenticity of the Movie Script Analytical Algorithm
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