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Conversational intelligence analysis
2016
Proceedings of the 17th International Conference on Distributed Computing and Networking - ICDCN '16
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The integrated system is developed for supporting intelligence analysis in a coalition environment. ...
Moira is a conversational interface for information gathering, querying and evidence aggregation that supports cooperative data-driven analytics via Controlled Natural Language. ...
Conversational sensing and argumentation-based reasoning underpin the system to enable collaborative intelligence analysis. ...
doi:10.1145/2833312.2849568
dblp:conf/icdcn/TonioloPWNSD16
fatcat:chcnr4gsubfxhg7jzqqp6oyytu
Intelligent intervention by conversational agent through chatlog analysis
2018
Smart Learning Environments
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The effectiveness of learner interaction behaviors and the impact of intelligent intervention by the conversational agent were evaluated through chatlog analysis. ...
And then we designed a set of strategies for intelligent intervention to improve learners' engagement when conversing with the conversational agents. ...
For interventions 2 and 3 The conversational logs were analyzed, in part, using the lexical analysis tool, LIWC. ...
doi:10.1186/s40561-018-0079-5
fatcat:l2mkwz4mpjalbc5oxzwclqoidm
BI-REC: Guided Data Analysis for Conversational Business Intelligence
[article]
2021
arXiv
pre-print
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Conversational interfaces to Business Intelligence (BI) applications enable data analysis using a natural language dialog in small incremental steps. ...
In this paper, we propose BI-REC, a conversational recommendation system for BI applications to help users accomplish their data analysis tasks. ...
Intelligence (AI). ...
arXiv:2105.00467v1
fatcat:uuwo5axmyfa2jabyitwpgtpguq
Conversational Collaborative Recommendation – An Experimental Analysis
2005
Artificial Intelligence Review
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However, content-based recommender system research has begun to look towards more conversational models of recommendation, where the user is actively engaged in directing search at recommendation time. ...
Towards Conversational Collaborative Recommendation We have so far described collaborative recommendation and various styles of conversational recommendation. ...
Conversational Model of Recommendation The conversational recommendation model has recently become a popular approach in content-based recommender system research. ...
doi:10.1007/s10462-005-9004-8
fatcat:lh5gan5x3jadbkpamaohvihxya
Using Conversation Analysis for Examining Social Media Interactions
[chapter]
2020
Frontiers in Artificial Intelligence and Applications
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However, it seems that to date only a few studies have applied Conversation Analysis (CA) to study social media interactions. ...
The aim of this paper is to show the benefits of using CA for the analysis of this type of social interactions. ...
Conversation Analysis
Origins Conversation Analysis (CA) is a methodological approach that studies social interactions [7] [8] [9] . ...
doi:10.3233/faia200779
fatcat:7obfs34nbfcttfqgtztkgr5bqu
A Conversational Agent Framework using Semantic Analysis
2010
International Journal of Intelligent Computing Research
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This paper focuses on the implementation of a novel semantic-based Conversational Agent (CA) framework. Traditional CAs interpret scripts consisting of structural patterns of sentences. ...
The CKP consists of contexts based on previous analysis on why students fail/delay to pay their tuition fees [16] . ...
Introduction A conversational agent is a computer program that can engage in conversation using natural language dialogue with a human participant. One of the earliest CAs developed was ELIZA [1] . ...
doi:10.20533/ijicr.2042.4655.2010.0002
fatcat:dclky5elinapxohqnlld5332iq
Automated Analysis of Mutual Gaze in Human Conversational Pairs
[chapter]
2013
Eye Gaze in Intelligent User Interfaces
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We also discuss how an algebraic analysis of the state transition structure of such models may reveal interesting properties of human gaze interaction. ...
The approach taken in this work is to collect data from human conversational pairs with the goal of learning a controller for robot gaze directly from human data. ...
Humans rely heavily on gaze information from their con-Copyright is held by the author/owner(s). 2nd Workshop on Eye Gaze in Intelligent Human Machine Interaction. ...
doi:10.1007/978-1-4471-4784-8_4
fatcat:fqvtq2mzdjasre4popkdetyaz4
A Formal Concept Analysis Approach to Cooperative Conversational Recommendation
2020
International Journal of Computational Intelligence Systems
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a conversational paradigm. ...
Using the framework of formal concept analysis, particularly the notion of implication between attributes, we propose a method strongly based on logic which allows to manage the users' preferences by following ...
Different tools have been used in this area, such as mathematical techniques (principal component analysis, linear discriminant analysis, independent component analysis), association rules or evolutionary ...
doi:10.2991/ijcis.d.200806.001
fatcat:dyhh57wf5vh6zlunyby6rgzq2i
Argumentation Reasoning with Graph Neural Networks for Reddit Conversation Analysis
[chapter]
2021
Frontiers in Artificial Intelligence and Applications
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The automated analysis of different trends in online debating forums is an interesting tool for sampling the agreement between citizens in different topics. ...
Reddit Debate Analysis In this section we give the definitions of the different components of the Reddit analysis system introduced in [3] . ...
Then, in the PDebT T α obtained from each Reddit debate, the label for each edge (c 1 , c 2 ) is computed with the sentiment analysis software of [14] . ...
doi:10.3233/faia210124
fatcat:7tewyht74ngmngt6oibca3cybm
CASA: Conversational Aspect Sentiment Analysis for Dialogue Understanding
2022
The Journal of Artificial Intelligence Research
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Overall, this task extends the standard aspect-based sentiment analysis to the conversational scenario with several major adaptations. ...
To expedite the progress in this area, we introduce the task of conversational aspect sentiment analysis (CASA) that can provide useful fine-grained sentiment information for dialogue understanding and ...
Creating a fine-grained corpus for chinese sentiment analysis. IEEE Intelligent Systems, 30(1):36-43. Zhong, P., Wang, D., and Miao, C. (2019) . ...
doi:10.1613/jair.1.12802
fatcat:nrwmrpj7rnecxdcbgetniav4l4
Exploring Big Data Environment for Conversation Data Analysis and Mining on Microblogs
[chapter]
2015
Advances in Intelligent Systems and Computing
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In this paper, we propose a new approach to retrieve conversation on microblogging sites that combine Big Data environment and social media analytics solutions. ...
While conducting our exploratory detection and analysis of the tweeter's conversation, we came across large conversations' features. ...
The proposed approach can be used to extract conversation from social media in order to provide relevant results correspondig to user's information needs based on their interactions analysis. ...
doi:10.1007/978-3-319-26690-9_30
fatcat:n5deq5c5cjaflbfvk7mw6skgte
Voice conversion using nonlinear principal component analysis
2007
2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing
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In this work, a new method for voice conversion (VC) using nonlinear principal component analysis (NLPCA) is presented. ...
In the last decades, much attention has been paid to the design of multi-speaker voice conversion. ...
Principal Component Analysis (PCA) is one of the best data analysis methods applied in various fields [11] [12] [13] [14] . ...
doi:10.1109/ciisp.2007.369191
fatcat:rsetvm6wpzhdjpxgrrucviq6m4
Visual Attention, Speaking Activity, and Group Conversational Analysis in Multi-Sensor Environments
[chapter]
2010
Handbook of Ambient Intelligence and Smart Environments
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workplace, and more specifically, of conversational group interaction. ...
Group conversations are ubiquitous, and represent a fundamental means through which ideas are discussed, progress is reported, and knowledge is created and disseminated. ...
Multi-Party Interaction with Distant Access), the Swiss National Center for Competence in Research (NCCR) on Interactive Multimodal Information Management (IM2), and the US research program VACE (Video Analysis ...
doi:10.1007/978-0-387-93808-0_16
fatcat:a666y7rwn5dinmveekqbdrtkx4
Commercial ERP Chatbots : Conversational Intelligence Agents' Performance Analysis, User experience Benchmarks, and Quality Standards
2021
International Journal of Scientific Research in Science Engineering and Technology
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An evaluation of any commercial chatbot deployment requires a multidimensional assessment and the current state of Conversational Intelligence in the commercial virtual assistant market. ...
A key goal of this paper is to investigate commercial applications for chatbots and propose several evaluation metrics for evaluating an embodied conversational agent's performance, usability, and overall ...
Some created conversational artificial intelligence, however, with success. How is the market for conversational assistants currently doing? ...
doi:10.32628/ijsrset219415
fatcat:yjvfidajcnc6vk4msrrddcl75e
Visual structured summaries of human conversations
2010
Proceedings of the first international workshop on Intelligent visual interfaces for text analysis - IVITA '10
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nodes for the conversation participants. ...
This paper presents an interactive interface to create visually structured summaries of human conversations via ontology mapping. ...
Then, the user can search the conversation through an interactive visualization that effectively display both the ontology and the conversation, and allows the user to search the conversation based on ...
doi:10.1145/2002353.2002366
fatcat:vaofq6dqdvblzkfilsc5nal47y
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