Results 91 to 100 of about 810,432 (208)

ConvNTM: Conversational Neural Topic Model

open access: yes, 2023
Topic models have been thoroughly investigated for multiple years due to their great potential in analyzing and understanding texts. Recently, researchers combine the study of topic models with deep learning techniques, known as Neural Topic Models (NTMs)
Li, Jinpeng   +3 more
core   +1 more source

How Effective Is the Judiciary? Evidence on Correlation Between Cases’ Characteristics and Probability of Appeal

open access: yesEuropean Journal of Empirical Legal Studies
This research proposes a way to assess judicial effectiveness, proxied by the probability of appeal of a decision. Focusing on the example of regional courts in Poland, it classifies cases based on their most accurate topic, creating a topic model on ...
Maciej Świtała
doaj   +1 more source

Empirical Comparison of Word Similarity Measures Based on Co-Occurrence, Context, and a Vector Space Model

open access: yesJournal of Information Science Theory and Practice, 2020
Word similarity is often measured to enhance system performance in the information retrieval field and other related areas. This paper reports on an experimental comparison of values for word similarity measures that were computed based on 50 ...
Natsuki Kadowaki, Kazuaki Kishida
doaj   +1 more source

Coupling topic modelling in opinion mining for social media analysis

open access: yes, 2017
Many of social media platforms such as Facebook and Twitter make it easy for everyone to share their thoughts on literally anything. Topic and opinion detection in social media facilitates the identification of emerging societal trends, analysis of ...
Xujuan Zhou   +7 more
core   +1 more source

Cross-Domain Explainable Recommendation Using Graph Convolutional Networks and a Topic Model

open access: yesIEEE Access
Graph Convolutional Network (GCN)-based recommendation systems (RSs) have recently gained popularity for their ability to improve recommendation accuracy by utilizing neighborhood information in user-item interaction graphs.
Kunyoung Kim, Mye Sohn, Jongmo Kim
doaj   +1 more source

TCMHG: Topic-Based Cross-Modal Hypergraph Learning for Online Service Recommendations

open access: yesIEEE Access, 2018
Online product reviews sentiment classification plays an important role on service recommendation, yet most of current researches on it only focus on single-modal information ignoring the complementary information, that results in unsatisfied accuracy of
Zhikui Chen   +3 more
doaj   +1 more source

Topic Map and Its Application to Document Retrieval [PDF]

open access: yes, 2005
As computer and network technologies develop, information on line becomes flooded. Under this condition searching requested documents is really a difficult task.
Jiangning, Wu   +2 more
core  

Topic Modeling in Marathi

open access: yesCoRR
While topic modeling in English has become a prevalent and well-explored area, venturing into topic modeling for Indic languages remains relatively rare. The limited availability of resources, diverse linguistic structures, and unique challenges posed by Indic languages contribute to the scarcity of research and applications in this domain. Despite the
Sanket Shinde, Raviraj Joshi
openaire   +2 more sources

A Hybrid Approach to Recognising Activities of Daily Living from Object Use in the Home Environment

open access: yesInformatics, 2018
Accurate recognition of Activities of Daily Living (ADL) plays an important role in providing assistance and support to the elderly and cognitively impaired.
Isibor Kennedy Ihianle   +3 more
doaj   +1 more source

Frammenti semantici. Riflessioni su descrizioni archivistiche e web semantico: Il caso dell’archivio Giovanni Testori [PDF]

open access: yes, 2010
This doctoral thesis is about the possibility to put archival data (for example archival descriptions, authority records and so on) directly into semantic web, particularly using a technology called “Topic Maps”.
Vassallo, Salvatore
core  

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