A review of emotion sensing: categorization models and algorithms
Sentiment analysis consists in the identification of the sentiment polarity associated with a
target object, such as a book, a movie or a phone. Sentiments reflect feelings and attitudes …
target object, such as a book, a movie or a phone. Sentiments reflect feelings and attitudes …
Survey on sentiment analysis: evolution of research methods and topics
Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …
has attracted the attention of researchers, and research papers on the field are increasingly …
Survey on data analysis in social media: A practical application aspect
Social media has more than three billion users sharing events, comments, and feelings
throughout the world. It serves as a critical information source with large volumes, high …
throughout the world. It serves as a critical information source with large volumes, high …
Learning-based stock trending prediction by incorporating technical indicators and social media sentiment
Stock trending prediction is a challenging task due to its dynamic and nonlinear
characteristics. With the development of social platform and artificial intelligence (AI) …
characteristics. With the development of social platform and artificial intelligence (AI) …
Time-aware domain-based social influence prediction
Online social networks have established virtual platforms enabling people to express their
opinions, interests and thoughts in a variety of contexts and domains, allowing legitimate …
opinions, interests and thoughts in a variety of contexts and domains, allowing legitimate …
Optimal feature selection for learning-based algorithms for sentiment classification
Sentiment classification is an important branch of cognitive computation—thus the further
studies of properties of sentiment analysis is important. Sentiment classification on text data …
studies of properties of sentiment analysis is important. Sentiment classification on text data …
[PDF][PDF] Drinking chai with your (AI) programming partner: A design fiction about generative AI for software engineering
Drinking Chai with Your (AI) Programming Partner: A Design Fiction about Generative AI for
Software Engineering Page 1 Drinking Chai with Your (AI) Programming Partner: A Design …
Software Engineering Page 1 Drinking Chai with Your (AI) Programming Partner: A Design …
Systematic Analysis of Risk Associated with Supply Chain Operations Using Blockchain Technology
Advancements in information and communication technologies (ICT), big data analytics, and
artificial intelligence(AI) based techniques brought a dramatic revolution in diverse …
artificial intelligence(AI) based techniques brought a dramatic revolution in diverse …
A domain-independent classification model for sentiment analysis using neural models
N Jnoub, F Al Machot, W Klas - Applied Sciences, 2020 - mdpi.com
Most people nowadays depend on the Web as a primary source of information. Statistical
studies show that young people obtain information mainly from Facebook, Twitter, and other …
studies show that young people obtain information mainly from Facebook, Twitter, and other …
Analisis Sentimen Twitter Debat Calon Presiden Indonesia Menggunakan Metode Fined-Grained Sentiment Analysis
SF Pratama - 2019 - repository.narotama.ac.id
Media sosial, Twitter, saat ini telah banyak memberikan dampak besar dalam membangun
opini, pandangan, sentimen, dan preferensi politik publik (menjelang Pemilihan Umum) …
opini, pandangan, sentimen, dan preferensi politik publik (menjelang Pemilihan Umum) …