Abstract
Appropriate photos can help the Chinese empty-nest elderly and young volunteers find common topics to promote communication. However, there are little researches on such photo in China. This paper used 40 online photos with 160 sessions for the conversation experiment for the Chinese elderly and young people to analyze these photos and classify them. Sentiment analysis of Chinese conversational texts was used to estimate the speaker’s attitude towards these photos. We collected the data set from the average value of sentiment analysis, the number of words uttered by the speakers, the pulse of the elderly, and the stress level of the youth for each photo. Principal Component Analysis (PCA) was carried out as a data preprocessing step to improve classification accuracies, and we selected four Principal Components (PCs) that account for 85.20% of total variance in the data. Next, we normalized these four PCs scores for Hierarchical Clustering Analysis (HCA) of the photos, and we got four clusters with different features. The results showed that photos in cluster2 were only optimal for the youth; cluster3 only made the elderly participants speak more; cluster1 and cluster4 was not suitable for the elders and the young people. This paper firstly classified the photos for 2-generation conversation and describing their features in China. Although, we did not find any photos suitable for both the elderly and the youth, this empirical study took a step forward in the investigation of photos for 2-generation conversation in China.
Highlights
2) Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA): This study collected data set from the average value of sentiment analysis, the number of words uttered by the speakers, the pulse of the elderly, and the stress level of the youth for each photo
The Principal Components (PCs) scores of each photo in each cluster are represented on the principal component space for compare
We described an emotion recognition method of sentiment analysis of Chinese conversation texts, which can obtain the positive probability of speakers for the photos during the conversation
Summary
A. Cognitive Impairment in the Empty-Nest Elderly in China. It has led to an increase in empty-nesters who do not live with their married children. They live with their spouses (empty-nest-couple) or alone (empty-nest -single). The empty-nesters accounted for 47.53% of the Chinese elderly in 2016, 60% of them have mental problems [2]. Recent research has shown that empty-nest-related psychological distress is associated with cognitive impairment in the elderly. Ensuring good social ties and minimizing psychological distress may help delay or prevent the progression of cognitive impairment in the emptynest elderly [3]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Computer Science and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
