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Chamatkar: Cast, Plot & Soundtrack

Chamatkar (transl. Miracle) is a 1992 Indian Hindi-language romantic comedy fantasy film directed by Rajiv Mehra. The film stars Naseeruddin Shah, Shah Rukh Khan, and Urmila Matondkar in pivotal roles. Film critic Sukanya Verma has described it as a "loose adaptation" of Blackbeard's Ghost (1968). As of 2016, the rights of this film are owned by Khan's…

Language: English [EN]
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Chamatkar topic overview

The analysis highlights Cast, Plot and Soundtrack as prominent areas in the source structure around Chamatkar.

Related topics
33
Source areas
4
Connected nodes
37
Extracted relationships
15
Concept neighborhoods
10
Bridge connections
37

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.

Cast · 16 topics
Overview · 9 topics
Plot · 6 topics
Soundtrack · 2 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.

Cinematography
Carlton D'Mello
Country
India
Dialogues by
Lilliput
Directed by
Rajiv Mehra
Edited by
M. S. Shinde
Language
Hindi

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

Cast

Soundtrack

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 Chamatkar connects Entity context

The extracted context around Chamatkar shows recurring relationship patterns in the source. For example, Chamatkar → Carlton D'Mello Another extracted example is Chamatkar → India. Use these groups to spot repeated connection types before inspecting the individual relationships.

Chamatkar

Top relations

Cinematography · 1
Chamatkar → Carlton D'Mello
Country · 1
Chamatkar → India
Dialogues by · 1
Chamatkar → Lilliput
Directed by · 1
Chamatkar → Rajiv Mehra
Edited by · 1
Chamatkar → M. S. Shinde
Language · 1
Chamatkar → Hindi
Music by · 1
Chamatkar → Songs: Anu Malik Score: Vanraj Bhatia
Produced by · 1
Chamatkar → Parvesh C. Mehra
Production company · 1
Chamatkar → Eagle Films
Release date · 1
Chamatkar → 8 July 1992 (1992-07-08)

Important terminology

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

Important terminology

sunder marco kunta ghost savitri mala film marco's school money kaul tells help mehra see naseeruddin shah khan urmila matondkar

Chamatkar relationships Subject–Predicate–Object triples

TTTA extracted 15 structured relationships around Chamatkar. Examples in this analysis include Chamatkar → Cinematography → Carlton D'Mello and Chamatkar → Country → India. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
ChamatkarCinematographyCarlton D'Mello1.00infobox
ChamatkarCountryIndia1.00infobox
ChamatkarDialogues byLilliput1.00infobox
ChamatkarDirected byRajiv Mehra1.00infobox
ChamatkarEdited byM. S. Shinde1.00infobox
ChamatkarLanguageHindi1.00infobox
ChamatkarMusic bySongs: Anu Malik Score: Vanraj Bhatia1.00infobox
ChamatkarProduced byParvesh C. Mehra1.00infobox
ChamatkarProduction companyEagle Films1.00infobox
ChamatkarRelease date8 July 1992 (1992-07-08)1.00infobox
ChamatkarRunning time171 minutes1.00infobox
ChamatkarScreenplay byShaukat Baig Rajiv Mehra1.00infobox
ChamatkarStarringNaseeruddin Shah Shah Rukh Khan Urmila Matondkar Shammi Kapoor1.00infobox
ChamatkarStory byShaukat Baig1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Chamatkar bring nearby vocabulary together. In this analysis, examples include Directed, Rajiv and Mehra. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • urmila matondkar
    • Khan
    • Matondkar
    • Urmila
    • Rukh
    • Naseeruddin
    • Shah
    • Kumar
    • Mehra
    • Film
    • Mala
    • Marco
    • Sunder
  • shah rukh khan
    • Matondkar
    • Urmila
    • Rukh
    • Shah
    • Naseeruddin
    • Kumar
    • Mehra
    • Kaul
    • Mala
    • Marco
    • Sunder
  • shahrukh khan
    • Matondkar
    • Urmila
    • Rukh
    • Naseeruddin
    • Shah
    • Kumar
    • Mehra
    • Mala
    • Marco
    • Sunder
  • fantasy film
    • Rajiv
    • Rukh
    • Khan
    • Matondkar
    • Mehra
    • Naseeruddin
    • Shah
    • Urmila
    • Ghost
  • blackbeard's ghost
    • Marco's
    • Becomes
    • Kumar
    • Well
    • Life
    • Sunder
    • Kunta
    • Marco
  • ghost
    • Marco's
    • Becomes
    • Kumar
    • Well
    • Life
    • Sunder
    • Kunta
    • Marco
  • naseeruddin shah
    • Shah
    • Rukh
    • Khan
    • Matondkar
    • Urmila
    • Kumar
    • Kaul
  • cemetery
    • Due
    • Wedding
    • Goons
    • Kunta
    • Mala
    • Marco
    • Sunder

Connections between topic areas Semantic bridges

For Chamatkar, one of the stronger structural bridges in this analysis connects Chamatkar with Cast. 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
ChamatkarCast · splits 21 ⟂ 17
ChamatkarOverview · splits 28 ⟂ 10
ChamatkarPlot · splits 31 ⟂ 7
ChamatkarSoundtrack · splits 35 ⟂ 3

Map overview Semantic statistics

Chamatkar

Nodes38
Edges37
Triples15
Avg. degree1.95
Density0.052632
Components1

Source & methodology

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

Source: Wikipedia — Chamatkar · EN edition · Analysis: TopicsToTalkAbout

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