Results 71 to 80 of about 23,660,558 (336)

Search engine For Twitter sentiment analysis [PDF]

open access: yes, 2015
textThe purpose of sentiment analysis is to determine the attitude of a writer or a speaker with respect to some topic or his feeling in a document. Thanks to the rise of social media, nowadays there are numerous data generated by users.
Chen, Jiajun, M.S. in Statistics
core   +1 more source

Sentiment Analysis in the Age of Generative AI

open access: yesCustomer Needs and Solutions
In the rapidly advancing age of Generative AI, Large Language Models (LLMs) such as ChatGPT stand at the forefront of disrupting marketing practice and research.
Jan Ole Krugmann, Jochen Hartmann
semanticscholar   +1 more source

ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2023
Multimodal Sentiment Analysis aims to predict the sentiment of video content. Recent research suggests that multimodal sentiment analysis critically depends on learning a good representation of multimodal information, which should contain both modality ...
Jiuding Yang   +4 more
semanticscholar   +1 more source

Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis

open access: yesHuman Language Technology - The Baltic Perspectiv, 2005
This paper presents a new approach to phrase-level sentiment analysis that first determines whether an expression is neutral or polar and then disambiguates the polarity of the polar expressions.
Theresa Wilson   +2 more
semanticscholar   +1 more source

Sentiment Analysis of Text Reviews Using Lexicon-Enhanced Bert Embedding (LeBERT) Model with Convolutional Neural Network

open access: yesApplied Sciences, 2023
Sentiment analysis has become an important area of research in natural language processing. This technique has a wide range of applications, such as comprehending user preferences in ecommerce feedback portals, politics, and in governance.
J. Mutinda, W. Mwangi, G. Okeyo
semanticscholar   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

open access: yesFEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin   +2 more
wiley   +1 more source

PARP inhibitors elicit distinct transcriptional programs in homologous recombination competent castration‐resistant prostate cancer

open access: yesMolecular Oncology, EarlyView.
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham   +21 more
wiley   +1 more source

Knowledge-Guided Sentiment Analysis Via Learning From Natural Language Explanations

open access: yesIEEE Access, 2021
Sentiment analysis is crucial for studying public opinion since it can provide us with valuable information. Existing sentiment analysis methods rely on finding the sentiment element from the content of user-generated.
Zunwang Ke   +4 more
doaj   +1 more source

Automatic Dream Sentiment Analysis [PDF]

open access: yes, 2006
In this position paper, we propose a first step toward automatic analysis of sentiments in dreams. 100 dreams were sampled from a dream bank created for a normative study of dreams. Two human judges assigned a score to describe dream sentiments.
De Koninck, Joseph   +4 more
core  

Better Document-level Sentiment Analysis from RST Discourse Parsing [PDF]

open access: yes, 2015
Discourse structure is the hidden link between surface features and document-level properties, such as sentiment polarity. We show that the discourse analyses produced by Rhetorical Structure Theory (RST) parsers can improve document-level sentiment ...
Bhatia, Parminder   +2 more
core   +1 more source

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