Pang B, Lee L (2004) A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts. arXiv preprint cs/0409058 Google Scholar Parise S, Whelan E, Todd S (2015) How Twitter users can generate better ideas. MIT Sloan Manag Rev 56(4):21 ...
A study of SA algorithms for agricultural product reviews based on improved BERT model. Symmetry. 2022;14(8):1604. Article Google Scholar Mukta MSH, Islam S, Shatabda S, Ali ME, Zaman A. Predicting academic performance: analysis of students’ mental health condition from social media ...
“I’ve never understood the passion for Schubert’s sentimental Viennese shit”—Using Metadata to Capture the Contexts of Film Music Connecting Research: The Interdisciplinary Potential of Digital Analysis in the Context of A. Kluge’s Televisual Corpus Modelling in Digital Humanities: An Introdu...
Then, we designed the word clouds and classified the sentiments using the BERT model. We then performed the geo-coding and visualized the feature points over the world map. We found the correlation between the feature points geographically and then applied hotspot analysis a...
This perspective paper is written to capture and analyze the various mental state health issues being perceived via emotional analysis of Twitter data during the COVID-19 virus outbreak from a single nation further spread of to the whole world. A data-driven approach with higher accuracy as here...
Sentimental analysis on these genuine Twitter accounts is performed by modifying the Natural Language Processing (NLP) state-of-art algorithm called Bidirectional Encoder Representations from Transformers (BERT). The proposed method achieved 88.30% of classification accuracy rate by concatenation of the ...
Then, we designed the word clouds and classified the sentiments using the BERT model. We then performed the geo-coding and visualized the feature points over the world map. We found the correlation between the feature points geographically and then applied hotspot analysis and kernel density ...