Results 61 to 70 of about 1,836 (199)
Comparative analysis on Facebook post interaction using DNN, ELM and LSTM.
This study presents a novel research approach to predict user interaction for social media post using machine learning algorithms. The posts are converted to vector form using word2vec and doc2vec model.
Sabih Ahmad Khan, Hsien-Tsung Chang
doaj +1 more source
Resource Substitution: Local Governments' Issue Attention and Policy Reinvention
ABSTRACT Research on policy reinvention, where a government modifies rather than replicates policy innovations introduced by other governments, has progressed significantly, but how it is influenced by the government's issue attention has not been thoroughly examined.
Yingxin Zhang, Yixue Yao, Kaifeng Yang
wiley +1 more source
In natural-language processing, the subject-action-object (SAO) structure is used to convert unstructured textual data into structured textual data comprising subjects, actions, and objects.
Sunhye Kim, Inchae Park, Byungun Yoon
doaj +1 more source
The proposed model takes an imbalanced English dataset as input and balances it by Generating Synthetic Tweets (GST) using GPT‐based paraphrasing. These new tweets are then annotated with one of 10 categorical labels representing their primary meaning, using another large language model like GPT.
Hossein Nekouei +1 more
wiley +1 more source
Unsupervised News Topic Modelling with Doc2Vec and Spherical Clustering
Abstract In the digital and Internet era, companies are racing to profile their target users based on their online activities. One of the reliable sources is the news articles they read that can represent their interests. However, extracting latent information from the news articles is not an easy task for a human.
Arif Budiarto +5 more
openaire +1 more source
Disagreement About Fiscal Policy
ABSTRACT Politicians disagree about fiscal policy. This disagreement should have economic effects beyond the effects of government spending and taxation. We use the full set of speeches in the German Bundestag since 1960 and apply state‐of‐the art natural language processing techniques to construct two series of fiscal disagreement starting in 1970 ...
Albina Latifi +3 more
wiley +1 more source
Нейронная сеть DOC2VEC в задаче автоматического определения тональности текстов социально-сетевого дискурса (на материале русского языка) [PDF]
Маслова Н. Е. Нейронная сеть DOC2VEC в задаче автоматического определения тональности текстов социально-сетевого дискурса (на материале русского языка) / Н. Е. Маслова // Одеський лінгвістичний вісник. – 2017. – Вип. 9. – Т.2. – С.
Маслова, Наталія Євгеніївна +3 more
core
ABSTRACT Introduction Artificial intelligence (AI) is a branch of technology enabling machines to emulate complex human skills; it can also entail problem‐solving using bioinspired methods. It is used for automating systematic literature reviews (SLR), that is, defining a clinical question, locating relevant literature, preliminary screening, study ...
Ana M. Barragán +5 more
wiley +1 more source
Abstract Research Summary Using 14,108 Kickstarter crowdfunding campaigns, we examine three strategies to gather support from first‐time versus repeat backers: narrative distinctiveness aligning with backers' expectations of novelty, endorsement from Kickstarter staff, and campaign leadership's reciprocity of funding other campaigns.
Stephanie Hepp +2 more
wiley +1 more source
Pengelompokan Dokumen Menggunakan Algoritma Doc2Vec dan HDBSCAN untuk Deteksi Plagiarisme [PDF]
Plagiarisme menjadi tantangan serius dalam lingkungan akademik karena ketersediaan konten digital yang mudah diakses. Cara deteksi plagiarisme yang biasa digunakan, yaitu dengan membandingkan kalimat secara langsung, sering kali bisa dihindari dengan ...
Shanty , Ratna Nur Tiara +2 more
core +1 more source

