IndexIntroductionMotivationContextResearch SummaryScope of the ProblemChallengesIntroductionMedia in today's globalized world is no longer the same as when people had to wait for morning newspapers or radio news various occasions throughout the universe. Likewise, the creation, dissemination and consumption of news is no longer the same as in the pre-innovation era, when people relied only on 24-hour news media. However, currently, a growing number of News-seekers continuously go online to learn about the most up-to-date incidents happening around the world. Social media is rapidly changing the media scene in the recent condition of news creation and dissemination. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get Original Essay Nowadays, with the rapid pace of globalization affecting all aspects of life and disrupting data innovation that has radically changed the procedure of news generation and its dispersion. Currently, all Internet users can interact without much hassle on a global stage where news is openly accessible and easily spreads to others. To define the term "social media" according to Wikipedia, Wikipedia refers to social media as network-based innovations that allow users to share information, thoughts, interests, and diverse and diverse types of articulation through virtual networks. Facebook, LinkedIn and Twitter are some of the popular social networking and communication sites that allow users to stay connected with the sites by updating text, images, videos or status. It is undeniable that conventional standards of media practices and journalism are altering due to the interactive aspect and significant role of social media in communication and breaking news. News provided by social media websites is almost in a text format which is considered unstructured text. . Text mining is particularly used as a method to surface undefined and practical patterns or information from a sum of huge and unstructured data or corpus. Computational linguistics, Information Retrieval (IR) and data mining are some research fields that are incorporated by one of the branches of data mining called text mining, scholars said. Numerous text mining techniques such as "topic detection and tracking, keyword extraction, sentiment analysis, document clustering, and automatic document summarization" have been introduced to increase the efficiency of text analysis. Furthermore, NPL is a field related to text mining that is concerned with the mutual relationships between the large amount of existing unstructured texts. News generation and consumption of user-generated content have made recent media debate a possible field of research. Justification Bengali has become one of the most spoken languages ​​in the world. A good number of Bengali posts are shared on the Facebook pages of various Bengali newspapers on a daily basis. Bengali language texts are unstructured and need to be transformed into informative knowledge from a large amount of data through the application of various text mining techniques. Due to the lack of literature on Bengali text analysis, to be more precise on Bengali news, the present study tries to explore the newspaper analysis model that Bengali textual news exists on social media. The main reason behind starting my search is the availability of a large oneamount of Bengali texts that I want to transform into constructive knowledge. Background The reason I have a baseline study is to assist the current research being studied. This is an initial stage of research in designing a thesis as there are many questions to clarify and thoughts to clarify. All existing relevant works have been carried out through different text mining techniques which belong to this section along with the aims and challenges. An increasing number of readers and writers are subsequently attracted to social media, several scholars have revealed. The defining element of a wide range of web-based social networks lies in their engaging quality and overall reputation among Internet users in the global village. Due to the global social media movement, for example Facebook, mass media is now obsolete, today it is all about personal media. It is quite undeniable that social networking site like Facebook has one of the most popular sources of contemporary news where users have access to the Facebook pages of newspapers and have the option to choose what to read or not. Basically, what we online users do when we go online is select the type of news or opinions that interest us the most. An investigation examined several text mining techniques to analyze the text model of the social network along with online-based applications. A survey revealed that the authors aimed to provide a broad idea of ​​different text mining techniques and their exercises in social sites. Classification and clustering are two of the key recently developed approaches to text mining under the aspect of intellectual analysis of unstructured text. There was a recent study on text mining and analytics, a case study that analyzed the unstructured English text of several news channels and Facebook posts. The study demonstrated several techniques for analyzing ambiguous raw data sets and their transformation into quantifiable data. The research was based on a tool used for Facebook data collection, and the analysis process was performed by RapidMiner, an integrated environment for data science operations. By paying particular attention to the "Arab Spring" examined during this vital phase of history, Facebook intended to gather useful details about users' feelings online. For this purpose, the analysts used a system based on Support Vector Machine (SVM) and Naïve Bayes. Furthermore, a lexical resource is formed for sentiment analysis extracted from emoticons, interjections and acronyms derived from users' status updates. Although the research achieved profound results on Tunisian Facebook users in January 2011, the Tunisian revolution which is one of the recorded moments, presented some flaws identified with the changing emotions of users targeted on a specific point. The investigation ignored the time factor in the examination and exchange which influenced the results incompletely. If the study had incorporated the time-related feature into its investigation, it would have been more fascinating. A little research was directed to investigate the huge amount of information published daily by customers that can be fruitful for the benefit of organizations. However, the use of social networking sites has increased moderately day by day. To reveal how social media data analysis can become meaningful for decision makers and for management research and practice, try to present a case study. The data was collected via SAMSUNG's mobile Facebook page. Using “NCapture for NVivo 10” 128,371 comments were captured representing the corpus of research from June 10 to 10