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Psychological Well-Being of Left-Behind Children in China: Text Mining of the Social Media Website Zhihu.
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In: International journal of environmental research and public health, vol 19, iss 4 (2022)
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| 2 |
Mining an English-Chinese parallel Dataset of Financial News
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In: Journal of Open Humanities Data; Vol 8 (2022); 9 ; 2059-481X (2022)
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“Thou Shalt Not Take the Lord’s Name in Vain”: A Methodological Proposal to Identify Religious Hate Content on Digital Social Networks
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In: International Journal of Communication; Vol 16 (2022); 22 ; 1932-8036 (2022)
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WS16: Italian heritage: Using corpus data to map phonological patterns in Brazilian Veneto ...
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| 5 |
LASSO Regression Modeling on Prediction of Medical Terms among Seafarers’ Health Documents Using Tidy Text Mining
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In: Bioengineering; Volume 9; Issue 3; Pages: 124 (2022)
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A Corpus-Based Sentence Classifier for Entity–Relationship Modelling
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In: Electronics; Volume 11; Issue 6; Pages: 889 (2022)
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| 7 |
Text Mining from Free Unstructured Text: An Experiment of Time Series Retrieval for Volcano Monitoring
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In: Applied Sciences; Volume 12; Issue 7; Pages: 3503 (2022)
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| 8 |
A Novel Approach for Semantic Extractive Text Summarization
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4479 (2022)
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| 9 |
Using Conceptual Recurrence and Consistency Metrics for Topic Segmentation in Debate
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In: Applied Sciences; Volume 12; Issue 6; Pages: 2952 (2022)
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| 10 |
Predicting the Success of Internet Social Welfare Crowdfunding Based on Text Information
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In: Applied Sciences; Volume 12; Issue 3; Pages: 1572 (2022)
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| 11 |
How We Failed in Context: A Text-Mining Approach to Understanding Hotel Service Failures
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In: Sustainability; Volume 14; Issue 5; Pages: 2675 (2022)
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| 12 |
Psychological Well-Being of Left-Behind Children in China: Text Mining of the Social Media Website Zhihu
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 4; Pages: 2127 (2022)
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| 13 |
Study of the Yahoo-Yahoo Hash-Tag Tweets Using Sentiment Analysis and Opinion Mining Algorithms
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In: Information; Volume 13; Issue 3; Pages: 152 (2022)
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Abstract:
Mining opinion on social media microblogs presents opportunities to extract meaningful insight from the public from trending issues like the “yahoo-yahoo” which in Nigeria, is synonymous to cybercrime. In this study, content analysis of selected historical tweets from “yahoo-yahoo” hash-tag was conducted for sentiment and topic modelling. A corpus of 5500 tweets was obtained and pre-processed using a pre-trained tweet tokenizer while Valence Aware Dictionary for Sentiment Reasoning (VADER), Liu Hu method, Latent Dirichlet Allocation (LDA), Latent Semantic Indexing (LSI) and Multidimensional Scaling (MDS) graphs were used for sentiment analysis, topic modelling and topic visualization. Results showed the corpus had 173 unique tweet clusters, 5327 duplicates tweets and a frequency of 9555 for “yahoo”. Further validation using the mean sentiment scores of ten volunteers returned R and R2 of 0.8038 and 0.6402; 0.5994 and 0.3463; 0.5999 and 0.3586 for Human and VADER; Human and Liu Hu; Liu Hu and VADER sentiment scores, respectively. While VADER outperforms Liu Hu in sentiment analysis, LDA and LSI returned similar results in the topic modelling. The study confirms VADER’s performance on unstructured social media data containing non-English slangs, conjunctions, emoticons, etc. and proved that emojis are more representative of sentiments in tweets than the texts.
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Keyword:
content analysis; cyber-crime; opinion mining; text classification; Twitter
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URL: https://doi.org/10.3390/info13030152
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| 14 |
Preparing Legal Documents for NLP Analysis: Improving the Classification of Text Elements by Using Page Features
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| 17 |
Corona-Rechtsprechung des Bundesverfassungsgerichts (BVerfG-Corona) ...
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[R] Source Code der Corona-Rechtsprechung des Bundesverfassungsgerichts (BVerfG-Corona-Source) ...
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[R] Source Code der Corona-Rechtsprechung des Bundesverfassungsgerichts (BVerfG-Corona-Source) ...
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Corona-Rechtsprechung des Bundesverfassungsgerichts (BVerfG-Corona) ...
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