Dalit literature represents consciousness about human rights. Autobiographies written by Dalit authors are based on real-life experiences. 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. Therefore, how Dalit autobiographies draw their reader’s attention is essential and makes these autobiographies unique. In recent years, text analysis tools have been introduced to facilitate information extraction from a collection of texts and compare two or more texts. So, this article using text mining tools aims to analyze three selected Dalit autobiographies of women writers. 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. 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. In Halder’s work, the frequency of these KWICs was zero. Accordingly, it can be said that in recent years, authors are explicitly willing to attract their readers’ attention toward Dalits and their problems.

Media is a useful tool to convey various types of messages. Within the past years, broadcasting media has covered a wide range of different communication methods such as television, radio, newspapers, and magazines. The article's central hypothesis is that movies, TV, and video games quotes, as the subcategory of broadcasting, convey messages about environmental issues. It seems that ecological discourse analysis can be useful, as it focuses on texts about the environment. In a diachronic approach, the present article aims to explore the environmental issues in movies, TV, and video games quotes; in this regard, we analyzed ecological discourse and solutions proposed by IMDb quotes. The data was collected from the IMDb database using Keyword in Context (KWIC) over 1990-2020. The findings indicated that KWICs such as global warming (38%) and endangered species (19.18%) had the highest frequencies. On the other hand, only 0.67% of the raw numbers of quotes belonged to environmental issues, which indicated that IMDb quotes implicitly conveyed the message regarding ecological matters. Furthermore, the studied IMDb mostly explained the consequences and provided solutions to environmental issues. Therefore, the frequency of informing people about environmental negligence was much lower than expected.