Statistical Analysis on Bangla Newspaper Data to Extract Trending Topic and Visualize Its Change Over Time
Syed Mehedi Hasan Nirob, Md. Kazi Nayeem, Md. Saiful Islam

TL;DR
This paper presents a statistical model for analyzing Bangla newspaper data to identify and visualize trending topics over time, aiding understanding of societal changes and news dynamics.
Contribution
It introduces techniques for selecting trending topics from Bangla newspapers and visualizing their evolution, including clustering and trend comparison methods.
Findings
Identified key trending topics over time.
Visualized changes in news focus and societal issues.
Demonstrated potential for future trend prediction.
Abstract
Trending topic of newspapers is an indicator to understand the situation of a country and also a way to evaluate the particular newspaper. This paper represents a model describing few techniques to select trending topics from Bangla Newspaper. Topics that are discussed more frequently than other in Bangla newspaper will be marked and how a very famous topic loses its importance with the change of time and another topic takes its place will be demonstrated. Data from two popular Bangla Newspaper with date and time were collected. Statistical analysis was performed after on these data after preprocessing. Popular and most used keywords were extracted from the stream of Bangla keyword with this analysis. This model can also cluster category wise news trend or a list of news trend in daily or weekly basis with enough data. A pattern can be found on their news trend too. Comparison among…
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Taxonomy
TopicsAdvanced Text Analysis Techniques · Sentiment Analysis and Opinion Mining · Opinion Dynamics and Social Influence
