![]() ![]() In Halder’s work, the frequency of these KWICs was zero. ![]() Based on the findings of this study, only in Dutt’s work, keyword in contexts (KWICs) such as “Dalit, caste, India” had higher frequencies than two other works. The central hypothesis of this study is that sufferers, their families and society have higher frequency in Dalit autobiographies and semantic relations between these elements at the lexical level are available. So, this article using text mining tools aims to analyze three selected Dalit autobiographies of women writers. In recent years, text analysis tools have been introduced to facilitate information extraction from a collection of texts and compare two or more texts. ![]() Therefore, how Dalit autobiographies draw their reader’s attention is essential and makes these autobiographies unique. Based on the conducted studies regarding Dalit autobiographies, women are the ones who suffer oppression and violence to a great extent (Simon, 2021) since they are the backbone of the family. Autobiographies written by Dalit authors are based on real-life experiences. ![]() Dalit literature represents consciousness about human rights. ![]()
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