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Finding Nemo: Legacy, Plot & Voice cast

Finding Nemo is a 2003 American animated comedy-drama film directed by Andrew Stanton, who co-wrote it with Bob Peterson and David Reynolds. Produced by Pixar Animation Studios for Walt Disney Pictures, the film stars the voices of Albert Brooks, Ellen DeGeneres, Alexander Gould, Willem Dafoe, and Geoffrey Rush. It tells the story of an overprotective…

Language: English [EN]
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Finding Nemo topic overview

The analysis highlights Legacy, Plot and Voice cast as prominent areas in the source structure around Finding Nemo. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.

Related topics
297
Source areas
8
Connected nodes
306
Extracted relationships
316
Concept neighborhoods
52
Bridge connections
306

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Reception · 61 topics
Overview · 59 topics
Release · 53 topics
Production · 43 topics
Plot · 31 topics
Voice cast · 26 topics
Legacy · 22 topics
Soundtrack · 3 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Box office
$940.3 million
Budget
$94 million
Cinematography
Sharon Calahan · Jeremy Lasky
Country
United States
Directed by
Andrew Stanton
Distributed by
Buena Vista Pictures Distribution[a]

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Plot

Voice cast

Production

Soundtrack

Release

Reception

Legacy

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Finding Nemo connects Entity context

The extracted context around Finding Nemo shows recurring relationship patterns in the source. For example, Finding Nemo → Airheads, At, Australia, Before May, Besides, Chicago, Chips Deluxe, Cinnamon Crunch Crispix, Cocoa Rice Krispies, Consumers, Cookies, Disney, Draft Worldwide, Dreyer's, Eggo, Fair, February, For, Frito-Lay, Froot Loops Another extracted example is Finding Nemo → Academy Award, Academy Awards, Animated Movie, At, Awards, Belleville, Best Animated Feature, Best Animated Film, Best Comedic Performance, Best Motion Picture, Best Movie, Best Original Score, Best Original Screenplay, Best Picture, Best Sound Editing, Best Supporting Actress, Brother Bear, Chicago Film Critics Association, Circle Awards, Comedy. Use these groups to spot repeated connection types before inspecting the individual relationships.

Finding Nemo

Top relations

related to Marketing · 73
Finding Nemo → Airheads, At, Australia, Before May, Besides, Chicago, Chips Deluxe, Cinnamon Crunch Crispix, Cocoa Rice Krispies, Consumers, Cookies, Disney, Draft Worldwide, Dreyer's, Eggo, Fair, February, For, Frito-Lay, Froot Loops
related to Accolades · 50
Finding Nemo → Academy Award, Academy Awards, Animated Movie, At, Awards, Belleville, Best Animated Feature, Best Animated Film, Best Comedic Performance, Best Motion Picture, Best Movie, Best Original Score, Best Original Screenplay, Best Picture, Best Sound Editing, Best Supporting Actress, Brother Bear, Chicago Film Critics Association, Circle Awards, Comedy
related to Home media · 39
Finding Nemo → Blonde, Both, By December, Chamber, Collector's Edition DVD, Days Later, DVD, Exploring, For DVD, Harry Potter, Home, Hulk, In, Inc, It, Knick Knack, Legally Blonde, Monsters, November, On
related to Critical response · 24
Finding Nemo → A-graded, American, Audiences, Breathtakingly, CinemaScore, Critics, Entertainment Weekly, Houston Chronicle, In, Inc, Lisa Schwarzbaum, Metacritic, Monsters, On, Perfect, Pixar, Pixar's, Roger Ebert, Rotten Tomatoes, Stephen Holden
related to Localization · 18
Finding Nemo → Beyond, Dempsey, Disney, Disney Character Voices International's, English, Fall Out Boy's, In, March, Navajo, Navajo Nation Museum, Nemo, Nemo Há'déést'íí, Patrick Stump, Rick Dempsey, Robbie Williams, Sea, Star Wars, The
related to Theme park attractions · 16
Finding Nemo → Crush, Crush's Coaster, Disney California Adventure Park, Disney Parks, Disney's Animal Kingdom, Disneyland Park, Epcot, Finding Nemo Submarine Voyage, Friends, Hong Kong Disneyland, Nemo, The Musical, The Seas, Tokyo DisneySea, Turtle Talk, Walt Disney Studios Park
related to Video games · 14
Finding Nemo → Dory, Game Boy Advance, GameCube, It, Marlin, Microsoft Windows, Nemo, Pixar, PlayStation, The, The Continuing Adventures, Traveller's Tales, Upon, Xbox
related to Environmental concerns and consequences · 11
Finding Nemo → After, ATC, Australia, China, Demand, Nemo, Queensland, The, The Australian Tourism Commission, United States, Vanuatu
related to Soundtrack · 11
Finding Nemo → Academy Award, King, May, Original Score, Pixar, Randy Newman, Rings, The, The Lord, The Return, Thomas Newman
related to Development · 10
Finding Nemo → Andrew Stanton's, In, Later, Marine World, Marlin, National Geographic, Nemo, Stanton, The, There

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

film nemo finding dory marlin million fish animated release released 2003 also disney clownfish stanton one pixar first highest-grossing theatrical

Finding Nemo relationships Subject–Predicate–Object triples

TTTA extracted 316 structured relationships around Finding Nemo. Examples in this analysis include Finding Nemo → Box office → $940.3 million and Finding Nemo → Budget → $94 million. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Finding NemoBox office$940.3 million1.00infobox
Finding NemoBudget$94 million1.00infobox
Finding NemoCinematographySharon Calahan1.00infobox
Finding NemoCinematographyJeremy Lasky1.00infobox
Finding NemoCountryUnited States1.00infobox
Finding NemoDirected byAndrew Stanton1.00infobox
Finding NemoDistributed byBuena Vista Pictures Distribution[a]1.00infobox
Finding NemoEdited byDavid Ian Salter1.00infobox
Finding NemoLanguageEnglish1.00infobox
Finding NemoMusic byThomas Newman1.00infobox
Finding NemoProduced byGraham Walters1.00infobox
Finding NemoProduction companyPixar Animation Studios1.00infobox
Finding NemoRelease datesMay 18, 2003 (2003-05-18) (Los Angeles)1.00infobox
Finding NemoRelease datesMay 30, 2003 (2003-05-30) (United States)1.00infobox
Finding NemoRunning time100 minutes1.00infobox
Finding NemoScreenplay byAndrew Stanton1.00infobox
Finding NemoScreenplay byBob Peterson1.00infobox
Finding NemoScreenplay byDavid Reynolds1.00infobox
Finding NemoStarringAlbert Brooks1.00infobox
Finding NemoStarringEllen DeGeneres1.00infobox
Finding NemoStarringAlexander Gould1.00infobox
Finding NemoStarringWillem Dafoe1.00infobox
Finding NemoStarringGeoffrey Rush1.00infobox
Finding NemoStory byAndrew Stanton1.00infobox
Finding Nemois a2003 American animated comedy-drama film directed by Andrew Stanton0.90text
Finding Nemois abest-selling DVD title of all time0.90text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Finding Nemo bring nearby vocabulary together. In this analysis, examples include Nemo, Million and Film. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Finding Nemo
    • Nemo
    • Million
    • Film
    • Marlin
    • Released
    • Release
    • Pixar
    • Animated
    • States
    • United
    • First
    • Disney
  • finding nemo
    • Nemo
    • Million
    • Film
    • Marlin
    • Released
    • Release
    • Pixar
    • Animated
    • States
    • United
    • First
    • Fish
  • pixar animation studios
    • Pixar
    • Degeneres
    • Voice
    • Son
    • Story
    • Release
    • Office
    • 3d
    • Stanton
    • States
    • Time
    • United
  • ellen degeneres
    • Pixar
    • Dory
    • Story
    • Voice
    • Best
    • Clownfish
    • Movie
    • Stanton
    • Office
    • 3d
    • States
    • Time
  • second-highest-grossing film of 2003
    • Finding
    • Nemo
    • Highest-grossing
    • Released
    • Million
    • Best
    • Release
    • Pixar
    • Also
    • First
    • One
    • Fish
  • best animated feature
    • Film
    • Highest-grossing
    • Best
    • Films
    • Degeneres
    • Finding
    • Time
    • First
    • Million
    • Movie
    • Nemo
    • Pixar
  • american film institute
    • Finding
    • Nemo
    • Highest-grossing
    • Released
    • Million
    • Best
    • Release
    • Pixar
    • Also
    • First
    • One
    • Fish
  • greatest animated films of all time
    • Film
    • One
    • Highest-grossing
    • Best
    • Time
    • Office
    • Finding
    • Million
    • Nemo
    • Release
    • Also
    • States

Connections between topic areas Semantic bridges

For Finding Nemo, one of the stronger structural bridges in this analysis connects Finding Nemo with Reception. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Finding Nemo — Reception · splits 245 ⟂ 62
Finding Nemo — Overview · splits 247 ⟂ 60
Finding Nemo — Release · splits 253 ⟂ 54
Finding Nemo — Production · splits 263 ⟂ 44
Finding Nemo — Plot · splits 275 ⟂ 32
Finding Nemo — Voice cast · splits 280 ⟂ 27
Finding Nemo — Legacy · splits 284 ⟂ 23
Finding Nemo — Soundtrack · splits 303 ⟂ 4

Map overview Semantic statistics

Finding Nemo

Nodes307
Edges306
Triples316
Avg. degree1.99
Density0.006515
Components1

Source & methodology

TTTA analyzes the structure around Finding Nemo to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Legacy, Plot & Voice cast, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Finding Nemo · EN edition · Analysis: TopicsToTalkAbout

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