Results 51 to 60 of about 8,324 (219)

Penerapan Analisis Sentimen pada Pengguna Twitter Menggunakan Metode K-Nearest Neighbor

JISKA (Jurnal Informatika Sunan Kalijaga), 2018
This research is made to implement the KNN (K-Nearest Neighbor) algorithm for sentiment analysis Twitter about Jakarta Governor Election 2017. The object is 2000 data tweets in Indonesia collected from Twitter during Januari 2017 using Python package ...
Akhmad Deviyanto, Muhammad Didik Rohmad Wahyudi   +1 more
doaj   +1 more source

Optimization of Associative Knowledge Graph using TF-IDF based Ranking Score

Applied Sciences, 2020
This study proposes the optimization method of the associative knowledge graph using TF-IDF based ranking scores. The proposed method calculates TF-IDF weights in all documents and generates term ranking.
Hyun-Jin Kim, Ji-Won Baek, Kyungyong Chung   +2 more
doaj   +1 more source

Tracking Climate and Environmental Attention: A News‐Based Composite Index

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study introduces the Climate and Environmental Attention Index, a composite indicator that tracks media attention to climate and environmental issues. Based on the Semantic Brand Score, the proposed index extracts significant signals from unstructured text, going beyond traditional measures of word frequency and sentiment.
Gianna Figà‐Talamanca, Andrea Fronzetti Colladon, Barbara Guardabascio, Ludovica Segneri   +3 more
wiley   +1 more source

The Language of Greenwashing: SDG Omission and Opportunity‐Oriented Environmental Tone as Alert Metrics in Green Bond Disclosures

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Green bonds play a central role in sustainable finance, yet concerns about greenwashing raise questions about the credibility of issuers' sustainability disclosures. Using dictionary‐based methods and domain‐specific BERT transformer models, this paper proposes two greenwashing alert metrics and investigates their performance by analyzing ...
Andrea Nicolodi, Sandra Paterlini, Monica Gentile, Vincenzo Foglia Manzillo, Gianluca Vittorioso   +4 more
wiley   +1 more source

Family Control and Ownership, Corporate Culture, and ESG Performance in Thailand

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Motivated by the growing importance of environmental, social, and governance (ESG) performance in emerging markets, we examine how family control and ownership, together with corporate culture, influence the ESG performance of publicly listed firms in Thailand.
Sirimon Treepongkaruna, Stefano Starita, Kam Fong Chan   +2 more
wiley   +1 more source

Comparison of Feature Extraction in Support Vector Machine (SVM) Based Sentiment Analysis System

Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi
Sentiment analysis plays a crucial role in natural language processing by identifying and categorizing opinions or emotions conveyed in textual data.
Imam Fahrur Rozi, Irma Maulidia, Mamluatul Hani’ah, Rakhmat Arianto, Dika Rizky Yunianto, Ahmadi Yuli Ananta   +5 more
doaj   +1 more source

Unsupervised clustering of electroclinical features in temporal lobe epilepsy: A data‐driven approach

Epileptic Disorders, EarlyView.
Abstract Objective To identify clinically meaningful patterns in ictal electroclinical features of focal epilepsy using a data‐driven, unsupervised learning approach, and to assess whether such patterns can localize and lateralize the epileptogenic zone (EZ) more accurately than conventional electroclinical interpretation.
Maria Vlachou, Bernadett Molnár, Helene Kaas, Jesper Tveit, Harald Aurlien, Martin Ejler Fabricius, Guido Rubboli, Lars Hageman Pinborg, Sándor Beniczky   +8 more
wiley   +1 more source

HARD: SUBJECT-BASED SEARCH ENGINE MENGGUNAKAN TF-IDF DAN JACCARD'S COEFFICIENT

Jurnal Teknik Industri, 2006
This paper proposes a hybridized concept of search engine based on subject parameter of High Accuracy Retrieval from Documents (HARD). Tf-Idf and Jaccard's Coefficient are modified and extended to providing the concept.
Rolly Intan, Andrew Defeng
doaj  

Penerapan Metode TF-IDF Dalam Sistem Informasi Digital Marketing Pada UMKM Bismillah Outlet Hijab

Jurnal Teknologi dan Sistem Informasi
Pemanfaatan digital marketing menjadi kebutuhan penting bagi UMKM untuk meningkatkan efektivitas promosi dan memperluas jangkauan pasar. Namun, UMKM Bismillah Outlet Hijab masih menghadapi kendala dalam pengelolaan data produk serta penentuan kata kunci
Rani Ramadhani, Suendri Suendri
doaj   +1 more source

Alternative Data for Realised Volatility Forecasting: Limit Order Book and News Stories

International Journal of Finance &Economics, EarlyView.
ABSTRACT We examine whether two major alternative data sources, limit order book information and firm‐specific news, provide incremental predictive information for daily realised volatility forecasting within the HAR‐family, using a parsimonious framework to ensure practical implementation and comparability. The framework is designed for practical real‐
Eghbal Rahimikia, Ser‐Huang Poon
wiley   +1 more source