Description:DESCRIPTION
Technical Field of the Invention

The present invention relates to the field of artificial intelligence (AI) and computational literary analysis. More particularly, it pertains to an AI-based platform configured to analyze fictional narratives for postcolonial identity constructs, ethical dissonance, and underlying cultural themes, thereby facilitating advanced literary criticism, thematic mapping, and social justice research.

Background of the Invention

Postcolonial literary analysis examines how historical and cultural contexts of colonialism and imperialism influence narratives, characters, and identities within literary works. Traditional postcolonial criticism involves qualitative methodologies, requiring scholars to manually read, interpret, and critique texts using theoretical frameworks such as subaltern studies, hybridity, mimicry, and resistance discourse. While effective, such methods are time-consuming, inherently subjective, and limited in scalability when analysing large volumes of literary data.

With advancements in natural language processing (NLP) and computational linguistics, digital humanities tools have emerged to assist literary analysis. However, existing tools are predominantly designed for general text mining tasks such as keyword extraction, frequency counts, topic modelling, and basic sentiment analysis. They do not integrate cultural theory frameworks or possess the analytical depth necessary to identify nuanced postcolonial constructs such as colonial power dynamics, subaltern voices, or ethical dissonance embedded within character arcs and plot structures.

Ethical dissonance, which refers to conflicting moral beliefs and identity struggles experienced by characters in postcolonial contexts, remains particularly underexplored in computational models due to its abstract and multifaceted nature. No existing platforms combine AI-based linguistic analysis with postcolonial theoretical constructs to provide structured, scalable, and objective insights into fictional narratives.

Therefore, there exists a significant gap in automated tools that integrate AI, NLP, and postcolonial theory for advanced literary analysis. Addressing this gap, the present invention provides an AI-based platform specifically designed to analyse postcolonial identity constructs and ethical dissonance within fictional texts. The invention aims to empower researchers, educators, and students by automating complex critical analyses, enhancing efficiency, minimising bias, and facilitating deeper understanding of cultural and ethical themes in literature.

Objects of the Invention

The primary objective of the invention is to provide an AI-based platform for automated analysis of postcolonial identity constructs in fictional narratives.

Yet another objective of the invention is to identify ethical dissonance in character development and plot structures.

Yet another objective of the invention is to integrate NLP and postcolonial theoretical frameworks for deeper cultural analysis.

Yet another objective of the invention is to offer visualization tools for thematic mapping of colonial and ethical dynamics.

Yet another objective of the invention is to enhance literary research, pedagogy, and critical discourse using computational methodologies.

Brief Summary of the Invention

The invention discloses an AI-based platform for analyzing postcolonial identity and ethical dissonance in fictional narratives. The platform comprises:
• A data ingestion module to receive and store digital literary texts.
• An NLP engine integrated with pretrained language models fine-tuned for literary texts to extract characters, events, and cultural references.
• A postcolonial analysis engine configured with algorithms to identify and classify narrative segments representing colonial power dynamics, subaltern voices, hybridity, mimicry, resistance, and ethical dissonance markers.
• A thematic mapping module that visualizes the relationships among characters, power structures, and ethical conflicts.
• A user interface allowing input of texts, viewing of analyses, and exporting of reports for scholarly and educational purposes.

The objective of the invention is to automate complex postcolonial and ethical analyses, provide structured insights, and assist researchers in conducting advanced cultural studies efficiently.

Brief Summary of the Drawings

The invention will be more clearly understood from the following brief description of the accompanying drawings, which illustrate exemplary embodiments of the present invention and are intended to support the detailed disclosure by highlighting the structural and functional aspects of the system.

Fig. 1 illustrates the overall system architecture of the AI-based platform, depicting the integration between the data ingestion module, NLP engine, postcolonial analysis engine, thematic mapping module, and user interface.

Fig. 2 shows a schematic flowchart of the operational workflow, outlining the sequence from data input, OCR processing (where applicable), NLP-based extraction, postcolonial and ethical dissonance analysis, to thematic mapping and user output generation.

Fig. 3 depicts the detailed structure of the postcolonial analysis engine, highlighting sub-modules for colonial power dynamics detection, subaltern voice analysis, hybridity and mimicry detection, resistance narrative mapping, and ethical dissonance evaluation.

Fig. 4 illustrates the NLP engine configuration, showing integration with pretrained transformer models, named entity recognition submodules, semantic role labelling unit, and coreference resolution subsystem.

Detailed Description of the Invention

It is to be understood that the present disclosure is not limited in its application to the details of construction and the arrangement of components set forth in the following description or illustrated in the drawings. The present disclosure is capable of other embodiments and of being practiced or of being carried out in various ways. In addition, it is to be understood that the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting.

The use of “including”, “comprising” or “having” and variations thereof herein is meant to encompass the items listed thereafter and equivalents thereof as well as additional items. The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items. Further, the use of terms “first”, “second”, and “third”, and the like, herein do not denote any order, quantity, or importance, but rather are used to distinguish one element from another.

The present invention discloses an AI-based platform designed to perform advanced computational analysis of fictional narratives, focusing specifically on postcolonial identity constructs and ethical dissonance. The platform comprises multiple integrated modules operating synergistically to deliver structured, theory-based literary insights.
The data ingestion module is configured to receive digital literary texts in various formats including .txt, .pdf, .docx, and image-based documents. An integrated optical character recognition (OCR) subsystem converts scanned text images into machine-readable text, ensuring compatibility across diverse literary archives and databases.

The natural language processing (NLP) engine utilizes advanced transformer-based language models, such as BERT or RoBERTa fine-tuned on extensive literary corpora. This engine performs sophisticated computational linguistic tasks including tokenization, lemmatization, named entity recognition to identify characters and settings, coreference resolution to maintain narrative coherence, and semantic role labelling to understand character actions, relationships, and narrative structures within the text.

The postcolonial analysis engine forms the core of the invention. It incorporates computational algorithms based on established postcolonial theoretical frameworks to identify and classify narrative segments reflecting:
• Colonial power dynamics, through detection of hierarchical relationships, subjugation verbs, and colonial lexicon usage.
• Subaltern voices, by analyzing underrepresented or marginalized character perspectives using sentiment polarity combined with semantic contexts.
• Hybridity and mimicry, by detecting code-switching, blended cultural referents, and shifts in character behavior indicating cultural assimilation or resistance.
• Resistance narratives, by identifying defiance verbs, oppositional discourse structures, and assertive speech acts challenging colonial hegemony.
• Ethical dissonance, by examining conflicting moral expressions, cognitive dissonance in character development, and internal monologues revealing cultural guilt, shame, identity fragmentation, or moral struggle. This analysis combines psychological emotion lexicons, moral conflict databases, and narrative arc progression algorithms to detect such dissonance with high specificity.
The thematic mapping module visualises the outputs of the analysis engine, generating interactive graphs and heat maps illustrating relationships among characters, colonial structures, and ethical conflict zones within the narrative.
The user interface module facilitates:
• Input of literary texts.
• Real-time display of analytical results including extracted characters, identified postcolonial constructs, and ethical dissonance markers.
• Interactive thematic graphs to explore character relationships and cultural themes.
• Export of comprehensive analytical reports in multiple formats for academic publication, pedagogy, and critical research.

The platform operates via a backend server hosting AI models, databases for analyzed data storage, and a secure frontend accessible through web browsers. This invention thereby automates complex postcolonial and ethical analyses, enhances research efficiency, reduces subjective biases, and provides structured insights integrating natural language processing, deep learning, and cultural theory within a single computational framework.
, Claims:CLAIMS
We Claim:
1. An AI-based platform for analysing postcolonial identity and ethical dissonance in fictional narratives, comprising:
a. a data ingestion module configured to receive and process literary text inputs in digital formats;
b. a natural language processing (NLP) engine configured to extract characters, settings, events, and dialogues from the input texts, the NLP engine comprising pretrained transformer-based language models fine-tuned on literary corpora;
c. a postcolonial analysis engine configured with computational algorithms to identify and classify narrative constructs including colonial power dynamics, subaltern voices, hybridity, mimicry, resistance narratives, and ethical dissonance;
d. a thematic mapping module configured to generate visual representations illustrating relationships among characters, colonial structures, and ethical conflicts within the narrative; and
e. a user interface module enabling input of texts, display of analytical results, interactive exploration of thematic maps, and export of reports.

2. The platform as claimed in claim 1, wherein the data ingestion module further comprises an optical character recognition (OCR) subsystem for processing scanned text images.

3. The platform as claimed in claim 1, wherein the postcolonial analysis engine detects ethical dissonance by analysing psychological emotion lexicons, narrative arcs, and moral conflict databases.

4. The platform as claimed in claim 1, wherein the thematic mapping module generates interactive graphs and heat maps for visualising thematic constructs and character relationships.

5. The platform as claimed in claim 1, wherein the user interface module allows keyword-based querying of identified postcolonial constructs and ethical dissonance markers.

6. The platform as claimed in claim 1, wherein the NLP engine performs semantic role labelling and coreference resolution to maintain narrative coherence in extracted outputs.

7. The platform as claimed in claim 1, wherein the postcolonial analysis engine is configured to detect hybridity and mimicry by analysing code-switching patterns, blended cultural references, and behavioural shifts in characters.

8. The platform as claimed in claim 1, wherein the platform stores analysed data in a database for future reference, comparative studies, and multi-text analysis.

9. The platform as claimed in claim 1, wherein the user interface module provides downloadable analytical reports in multiple formats including .pdf, .csv, and .docx for academic and educational purposes.

10. A method for analysing postcolonial identity and ethical dissonance in fictional narratives using an AI-based platform, the method comprising:
• receiving literary text input through a data ingestion module;
• processing the text using an NLP engine to extract structural elements;
• analysing the extracted data via a postcolonial analysis engine to identify colonial power dynamics, subaltern voices, hybridity, mimicry, resistance narratives, and ethical dissonance;
• generating thematic maps visualising character relationships and cultural constructs; and
• displaying the results and exporting reports through a user interface module.

6. DATE AND SIGNATURE

Dated this on 10th day of July, 2025
Signature

Mr. Srinivas Maddipati
(IN/PA 3124)
Agent for applicant