Tweet Integration by Finding the Shortest Paths on a Word Graph

Automatic Short Text Summarization Techniques in Social Media Platforms

“…In their work, Phan et al presented a tweet integration model based on identifying the shortest paths on a word graph [1]. To achieve this, they employed a topic modeling technique that automatically determines the number of topics within the tweets.…”

“…Statistical-based techniques emphasize summary quality and relevancy yet often overlook diversity, accuracy, readability, time constraints, and computational costs. In contrast, graph-based methods prioritize diversity, accuracy [1], and performance [12], with less emphasis on quality, similarity, completeness, redundancy, coverage, readability, time, and computational costs. As ASTS techniques continue to evolve, a synthesis of statistical-based and graph-based methodologies holds the potential to elevate summarization outcomes to new heights.…”

“…This process, though imbued with the power to distill significance, exacts a toll on time and resources, especially when faced with substantial textual corpora. The indispensability of manual summarization reverberates across fields as diverse as journalism, research, and academia, where distilled and meticulous summaries stand as pillars of knowledge dissemination [1]. The tide of innovation, however, has bestowed upon us the mantle of automation.…”