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  • Digital Humanities and Cultural Heritage
  • 2023-2023
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  • Authors: Yadav, A. K. (Ashutosh); Saxena, P. S. (Prof);

    Salman Rushdie, a postmodernist immigrant, is considered as one the greatest novelist of the 20th century. His apt use of magical realism, incorporates mythology, religion, history, fantasy, and humor into the real world. He narrates his life story and relates it to the national history of India. Rushdie uses the magical realist technique to deal about the postcolonial people of India, and various postcolonial issues. His writing focuses on India's history, politics, and identity as seen through his narrators. There is a blending of fantasy and reality with his fantastical fiction. Salman Rushdie presents women as strong characters to break free from their oppressive roles through his works. He develops strong female characters who face life with great fortitude and strength rather than meek personality. This research article critically investigates the role of women characters in selected novels by the acclaimed author, Salman Rushdie. A corpus of three major works—Midnight's Children, The Satanic Verses, and Shame—has been selected for detailed analysis. The study aims to illuminate the varying dimensions of women's representation, their influence, and the evolution of their roles in these narratives, serving as mirrors to the sociopolitical realities of their time. The article applies a combined theoretical framework of feminist literary criticism and postcolonial discourse to unpack the intricate characterizations and their wider implications. Findings reveal that Rushdie's women characters are often depicted as multi-dimensional, complex individuals who actively influence the plot and resist conforming to traditional roles. They embody strength, resilience, and liberation in the face of cultural, political, and religious adversities, breaking the mold of passive feminine stereotypes. Despite being enmeshed within patriarchal societal structures, these characters often subvert normative constraints, highlighting the intersection of gender, power, and resistance in Rushdie's novels. Through the use of magical realism, Rushdie juxtaposes reality with the fantastical, further challenging conventional expectations of women in literature. Rushdie's depiction of women provides significant insights into the complexities of postcolonial feminist identities, societal norms, and cultural heritage. His novels, while being grounded in their specific contexts, resonate on a universal scale, enriching the discourse around the representation of women in literature.

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  • Authors: Joharee, I. N. (Iffah); Hashim, N. N. (Nik); Mohd Shah, Nur Syahirah;

    Depression is an illness that can harm someone's life. However, many people still do not know that they are having depression and tend to express their feelings through text or social media. Thus, text-based depression detection could help in identifying the early detection of the illness. Therefore, the research aims to build a depression detection that can identify possible depression cues based on Bahasa Malaysia text. The data, in the form of text, has been collected from depressed and healthy people via a google form. There are three questions asked which are “Apakah kenangan manis yang anda ingat?”, “Apakah rutin harian anda?” and “Apakah keadaan yang membuatkan anda stress?” which obtained 172, 169 and 170 responses for each question respectively. All the datasets are stored in a CSV file. Using Python, TF-IDF was extracted as the feature and pipeline into several classifier models such as Random Forest, Multinomial Naïve Bayes, and Logistic Regression. The results were presented using the classification metrics of confusion matrix, accuracy, and F1-score. Also, another method has been conducted using the text sentiment techniques Vader and Text Blob onto the datasets to identify whether depressive text falls under negative sentiment or vice versa. The percentage differences were determined between the actual sentiment compared to Vader and Text Blob sentiment. From the experiment, the highest score is achieved by AdaBoost Classifier with a 0.66-F1 score. The best model is chosen to be utilized in the Graphical User Interface (GUI).

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The following results are related to Digital Humanities and Cultural Heritage. Are you interested to view more results? Visit OpenAIRE - Explore.
2 Research products
  • Authors: Yadav, A. K. (Ashutosh); Saxena, P. S. (Prof);

    Salman Rushdie, a postmodernist immigrant, is considered as one the greatest novelist of the 20th century. His apt use of magical realism, incorporates mythology, religion, history, fantasy, and humor into the real world. He narrates his life story and relates it to the national history of India. Rushdie uses the magical realist technique to deal about the postcolonial people of India, and various postcolonial issues. His writing focuses on India's history, politics, and identity as seen through his narrators. There is a blending of fantasy and reality with his fantastical fiction. Salman Rushdie presents women as strong characters to break free from their oppressive roles through his works. He develops strong female characters who face life with great fortitude and strength rather than meek personality. This research article critically investigates the role of women characters in selected novels by the acclaimed author, Salman Rushdie. A corpus of three major works—Midnight's Children, The Satanic Verses, and Shame—has been selected for detailed analysis. The study aims to illuminate the varying dimensions of women's representation, their influence, and the evolution of their roles in these narratives, serving as mirrors to the sociopolitical realities of their time. The article applies a combined theoretical framework of feminist literary criticism and postcolonial discourse to unpack the intricate characterizations and their wider implications. Findings reveal that Rushdie's women characters are often depicted as multi-dimensional, complex individuals who actively influence the plot and resist conforming to traditional roles. They embody strength, resilience, and liberation in the face of cultural, political, and religious adversities, breaking the mold of passive feminine stereotypes. Despite being enmeshed within patriarchal societal structures, these characters often subvert normative constraints, highlighting the intersection of gender, power, and resistance in Rushdie's novels. Through the use of magical realism, Rushdie juxtaposes reality with the fantastical, further challenging conventional expectations of women in literature. Rushdie's depiction of women provides significant insights into the complexities of postcolonial feminist identities, societal norms, and cultural heritage. His novels, while being grounded in their specific contexts, resonate on a universal scale, enriching the discourse around the representation of women in literature.

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    citations0
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    influenceAverage
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    more_vert
  • Authors: Joharee, I. N. (Iffah); Hashim, N. N. (Nik); Mohd Shah, Nur Syahirah;

    Depression is an illness that can harm someone's life. However, many people still do not know that they are having depression and tend to express their feelings through text or social media. Thus, text-based depression detection could help in identifying the early detection of the illness. Therefore, the research aims to build a depression detection that can identify possible depression cues based on Bahasa Malaysia text. The data, in the form of text, has been collected from depressed and healthy people via a google form. There are three questions asked which are “Apakah kenangan manis yang anda ingat?”, “Apakah rutin harian anda?” and “Apakah keadaan yang membuatkan anda stress?” which obtained 172, 169 and 170 responses for each question respectively. All the datasets are stored in a CSV file. Using Python, TF-IDF was extracted as the feature and pipeline into several classifier models such as Random Forest, Multinomial Naïve Bayes, and Logistic Regression. The results were presented using the classification metrics of confusion matrix, accuracy, and F1-score. Also, another method has been conducted using the text sentiment techniques Vader and Text Blob onto the datasets to identify whether depressive text falls under negative sentiment or vice versa. The percentage differences were determined between the actual sentiment compared to Vader and Text Blob sentiment. From the experiment, the highest score is achieved by AdaBoost Classifier with a 0.66-F1 score. The best model is chosen to be utilized in the Graphical User Interface (GUI).

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    citations0
    popularityAverage
    influenceAverage
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