Sentiment analysis of online news text : a case study of appraisal theory by Nourbakhsh, Armineh, Na, Jin-Cheon, Khoo, Christopher S. G.

“…Purpose – Sentiment analysis and emotion processing are attracting increasing interest in many fields. …”
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Rice stable carbon and nitrogen isotope values as potential indicators of watering and manuring regimes by Wu, R, Belfield, EJ, Dong, Y, Feng, S, Fu, X, Harberd, NP, Yang, F, Charles, M, Bogaard, A

It’s the state, indeed! How state capacity facilitates social equality in authoritarian regimes by Vaccaro, A, Panaro, AV

“…Empirical evidence suggests that contemporary authoritarian regimes face several incentives to redistribute social policy concessions to their citizens. …”

Indonesia-Japan Economic Partnership Agreement (IJEPA): a response to a regime change. by Siti Tiefryani Fahlyah

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Mapping of sentiment analysis on food security among Malaysians using social media analytics by Rusli, Noradila, Lee, Yoke Lai, Rosley, Muhamad Solehin Fitry, Lee, Cher Enn, Hamzah, Maheran, Alias, Nurul Ezaila, Bahari, Noraini, Mamat, Mohd. Razif

“…The study investigates the spatial distribution of sentiment in food security-related tweets among Malaysians, aiming to identify hotspots of positive, negative, and neutral sentiments. …”
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Empowerment or Reinforcement of Gender Regime: Rethinking Social Enterprises’ Intentions and Impact through Gender Lens by Tymosiewicz, Natalia Elizabeth

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Response time characterization of Organic Rankine Cycle evaporators for dynamic regime analysis with fluctuating load by Jiménez-Arreola, Manuel, Wieland, Christoph, Romagnoli, Alessandro

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Unconventional physical activity promotion : exploring the effectiveness of DDP yoga through sentiment analysis on Twitter by Lim, Ryan

“…Tweets that mentioned DDPY were collected, and 13,069 tweets from 4,343 unique users were analysed through topic modelling and sentiment analysis. Results indicated particularly positive sentiments among Twitter users and many tweets were focused on providing support and encouragement for the DDPY community. …”
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Public opinion trend analysis on nuclear energy via aspect-based sentiment analysis methods by Huang, Fan

“…The subjective emotions and sentiment information within textual data present people's thoughts and attitudes towards specific themes. …”
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A scheme of pairwise feature combinations to improve sentiment classification using book review dataset by Abubakar, Haisal Dauda, Huspi, Sharin Hazlin, Mahmood Umar, Mahmood Umar

“…Sentiment Analysis is a Natural Language Processing (NLP) domain related to the identification or extraction of user sentiments or opinions from written language. …”
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Uncertainty Quantification in Deep Learning Models of G-Computation for Outcome Prediction under Dynamic Treatment Regimes by Deng, Leon

“…G-Net is a neural network framework that implements g-computation, a causal inference method for making counterfactual predictions and estimating treatment effects under dynamic and time-varying treatment regimes. Two G-Net models have been successfully implemented: one that uses recurrent neural networks (RNNs) as its predictors, and one that uses transformer encoders (G-Transformer). …”
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The low overpotential regime of acidic water oxidation part II: trends in metal and oxygen stability numbers by Scott, Soren B., Sørensen, Jakob E., Rao, Reshma R., Moon, Choongman, Kibsgaard, Jakob, Shao-Horn, Yang, Chorkendorff, Ib

“…In this work, we investigate the stability of both the metal atoms and, by quantitative and highly sensitive 18O isotope labelling experiments, the oxygen atoms in a series of RuOx and IrOx electrocatalysts during the OER in the mechanistically interesting low overpotential regime. We show that materials based on RuOx have a higher dissolution rate than the rate of incorporation of labelled oxygen from the catalyst into the O2 evolved (“labelled OER”), while for IrOx-based catalysts the two rates are comparable. …”
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Nanyang venture formula 1: testing and performance evaluation of formula vehicle under FSAE on-track regime by Yip, Seng Han

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The infinite jest: Heri Dono's Punakawan and their metamorphosis throughout Indonesia's new order regime and reformasi era by Syakirah Aqilah Binte Sanusi

“…Ultimately, he privileges the metamorphosis of his punakawan to instil and embody the hopeful empowerment that the Indonesian public fought for in the late 1990s, from the New Order regime until the Reformasi era.…”
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Can a humanoid robot be part of the organizational workforce? A user study leveraging sentiment analysis by Mishra, Nidhi, Ramanathan, Manoj, Satapathy, Ranjan, Cambria, Erik, Magnenat-Thalmann, Nadia

“…Specifically, we employ aspect extraction and sentiment analysis to analyze the data. From our framework, we detect sentiment associated to the aspects that mainly concerned the customers during their interaction. …”
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李商隐诗歌的伤春主题 = The theme of "sentiment for spring" in Li Shang-yin's poetry by 郭欣瑜 Kerk, Sin Yee

“…笔者拟结合晚唐的时代背景以及诗人的生平来做深入的文本细读与分析，以此揭示诗人的伤春情怀并非只是单纯地为春逝而伤感，更多的是他在人生中的自我实现过程，以及他对家国、仕途、情感的追求. Sentiment for spring is a sentimental feeling which caused by the time-consciousness in men. …”
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Surface wave interaction with a vertical viscoelastic barrier by Bi, Cheng, Wu, Mao See, Law, Adrian Wing-Keung

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'It hurts my heart': Afghan women in London negotiating family relationships and (im)mobility regimes across borders by Ryan, Louise, López, María E., Rasa, Mursal

“…Paying attention to the specificities of spatial contexts and infrastructures in framing opportunities and obstacles to transnational care, we apply the concept of immobility regimes. Beyond a simple bi‐national focus on countries of origin and residence, we explore how the women navigate these regimes, across multiple countries and different visa regimes to arrange in‐person visits with geographically dispersed kin. …”
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Data-driven distributionally robust CVaR portfolio optimization under a regime-switching ambiguity set by Pun, Chi Seng, Wang, Tianyu, Yan, Zhenzhen

“…Methodology/Results: This paper models the nonstationarity by a regime-switching ambiguity set. In particular, we incorporate the time-varying feature of the stochastic environment into the traditional Wasserstein ambiguity set to build our regime-switching ambiguity set. …”
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Attention and positive sentiments towards carbon dioxide removal have grown on social media over the past decade by Repke, T, Müller-Hansen, F, Cox, E, Minx, JC

“…Here, we analyse attention and sentiments towards ten CDR methods using Twitter data from 2010 to 2022. …”