Difficulty-as-improvement: The courage to keep going in the face of life’s difficulties

Cultures often provide deservingness and authority-based narratives to explain the difficulties people experience in life. Accepting these narratives is culturally fluent but can be depleting. We predicted and showed that people often also interpret their life difficulties as opportunities for self-growth— a difficulty-as-improvement mindset. Our computational linguistic analyses of the “Common Crawl” corpus suggest that when people talk about difficulty they also talk about importance, impossibility, and improvement (Study 1). Studies 2-14 (total N = 2,378) use our brief difficulty-as-improvement measure to reveal that difficulty-as-improvement is both culture-general and culture-specific (endorsed more strongly in non-Western samples). Westerners (Australia, Canada, New Zealand, USA) and non-Westerners (China, India, Iran, Turkey) who endorse difficulty-as-improvement tend to experience themselves positively, as people who are optimistic, conscientious, virtuous, and whose lives have meaning. People who endorse difficulty-as-improvement tend to believe in deservingness (karma, a just world) and authority (spirituality, religiosity, conservatism).

GUJARATI POETRY CLASSIFICATION BASED ON EMOTIONS USING DEEP LEARNING

Poetries are the way to express the word that represents emotions and thoughts with the use of any language in the world and the computational linguistic study to the emotion recognition from poetry is an overwhelming and complex task too. Ultimate goal of this study is to disclose emotions through Gujarati poetries with the use of variety of characteristic there within Gujarati poems. Study presents a novel perspective in sentiment capture as of Gujarati Poems. ‘Kavan’ Gujarati poems collection was by hand interpreted upon the Indian idea mentioned in ‘Navarasa’. In the collection, 300+ poems were categorized into nine feeling mentioned in ‘Navarasa’, respectively ‘?????’, ‘???????’, ‘??????’, ‘? ???????’, ‘???????’, ‘????????’, ‘????????’, ‘???????’, and ‘???????’. The Zipfian allotment is part a family of related discrete power law probability distributions, which is used to identify the probability of one ‘rasa’ from the given poem.. Deep Learning has colossal set of pattern recognition tools that can be used for natural language processing and have incredible potential to locate a solution for challenging machine learning problem. Result accuracy was found up to ~87.62% of emotion classification task from Gujarati poetry corpus.

Verbal Communication in Robotics: A Study on Salient Terms, Research Fields and Trends in the Last Decades Based on a Computational Linguistic Analysis

Verbal communication is an expanding field in robotics showing a significant increase in both the industrial and research field. The application of verbal communication in robotics aims to reach a natural human-like interaction with robots. In this study, we investigated how salient terms related to verbal communication in robotics have evolved over the years, what are the topics that recur in the related literature, and what are their trends. The study is based on a computational linguistic analysis conducted on a database of 7,435 scientific publications over the last 2 decades. This comprehensive dataset was extracted from the Scopus database using specific key-words. Our results show how relevant terms of verbal communication evolved, which are the main coherent topics and how they have changed over the years. We highlighted positive and negative trends for the most coherent topics and the distribution over the years for the most significant ones. In particular, verbal communication resulted in being highly relevant for social robotics. Potentially, achieving natural verbal communication with a robot can have a great impact on the scientific, societal, and economic role of robotics in the future.