Filters








52,552 Hits in 9.1 sec

Survey Paper on Recommendation System for Tourist Reviews using Aspect Based Sentiment Classification

Kande Trupti V
2021 International Journal for Research in Applied Science and Engineering Technology  
The tourism and travel sector is trying to provide different facility using a large amount of data collected from different tourism web sites.  ...  The tourist easily retrieves to reviews, evidence of different tourists and accesses them properly. It helps tourists have made the planning of visit to tourism place.  ...  , and design a smooth and scalable optimization method for model's parameter Estimation [3] .  ... 
doi:10.22214/ijraset.2021.37450 fatcat:ke5mfgfz4nfnjhma76wbrfko2m

Applying the topic model to hotel reviews of internet sites and analyzing their results

Yoshiki Nakamura, Nozomi Oomiya
2021 Journal of Global Tourism Research  
Data points are used to analyze three things: (1) Words extracted from reviews, which are grouped according to a topic model to extract characteristics about a hotel; (2) Hotel rankings, topics, and appearance  ...  Through these analyses, we discuss the relationship between the evaluation of a hotel and its reviews on the basis of regions and hotel rankings.  ...  from online reviews of travelers in various travel group compositions.  ... 
doi:10.37020/jgtr.6.1_15 fatcat:qjhji6q2a5aplfcdcjtd7vl5z4

The evolution of travel recommender systems: A comprehensive review

Muneer V. K., K. P. Mohamed Basheer
2020 Malaya Journal of Matematik  
In this paper, we conducted a detailed review and chronological evolutions of various methods and techniques used in the travel and tourism sector and compared their efficiency in Recommendations.  ...  Travel has always been innate desire of human beings. People wanted to travel irrespective of any hurdles like geographical barrier, age, gender, or colour with different motivations.  ...  In 2017 Zhang and Morimoto [26] proposed a method that automatically decides appropriate attributes of vector space from hotel review comments which may be written in Natural Language.  ... 
doi:10.26637/mjm0804/0075 fatcat:x2f34v67hfg75le7tquws3siem

A picture is worth a thousand words: Translating product reviews into a product positioning map

Sangkil Moon, Wagner A. Kamakura
2017 International Journal of Research in Marketing  
A picture is worth a thousand words: Translating product reviews into a brand-positioning map ABSTRACT Product reviews are becoming ubiquitous on the Web, representing a rich source of consumer information  ...  styles of the reviewers.  ...  To evaluate the valence of each topic more objectively instead of using our own subjective judgments, we use the overall quality rating and determine the valence of each topic as part of our model estimation  ... 
doi:10.1016/j.ijresmar.2016.05.007 fatcat:56ptzrisdvaxvdfoiqlvthdooi

Normalized Attraction Travel Personality Representation for Improving Travel Recommender Systems

Turki Alenezi, Stephen Hirtle
2022 IEEE Access  
Building on the notions of user travel styles (UTSs) and the wisdom of crowds, we propose a method derived from topic-model-based models to represent travel attractions, called the Normalized Attraction  ...  This approach attempts to leverage the semantics of attraction reviews to model user travel personalities (UTPs), which collectively can construct the attraction travel personality (ATP) representation  ...  CONCLUSION In this work, we propose an NATP-based method to represent travel attractions based on their UTPs extracted from user reviews.  ... 
doi:10.1109/access.2022.3178439 fatcat:aaec6iocl5btjdo2feuel6f3ea

Optimal Travel Route Discovery based on Topic Interest and Image Attributes

Asha Murali
2018 International Journal for Research in Applied Science and Engineering Technology  
In order to address the challenges of the order of travel locations and personalized recommendations for users, the new system proposes a partial package model approach that automatically mines user travel  ...  Here propose a travel route recommendation system to recommend route by considering the customer requirements.  ...  In LDA, each document may be viewed as a mixture of various topics where each document is considered to have a set of topics that are assigned to it via LDA.  ... 
doi:10.22214/ijraset.2018.5120 fatcat:anuk2sfezzgobbhvblvzuu4iwy

Emerging Big Data Sources for Public Transport Planning: A Systematic Review on Current State of Art and Future Research Directions

Khatun E Zannat, Charisma F. Choudhury
2019 Journal of the Indian Institute of Science  
Then, various studies proposed methods suitable for large multimodal PT system to estimate the O-D matrix from smart card data 9, 28, 54, 76 .  ...  To validate the various methods for the use of smart card data and other passive data sources in O-D estimation, multiple validation techniques have been proposed in several studies.  ... 
doi:10.1007/s41745-019-00125-9 fatcat:5qm66wzthzejdg67ed6uumbh2a

Re-Ranking Words to Improve Interpretability of Automatically Generated Topics

Areej Alokaili, Nikolaos Aletras, Mark Stevenson
2019 Proceedings of the 13th International Conference on Computational Semantics - Long Papers  
In addition, close correlation between the results of the two evaluation approaches suggests that the automatic method proposed here could be used to evaluate re-ranking methods without the need for human  ...  This paper explores the re-ranking of topic words to generate more interpretable topic representations. A range of approaches are compared and evaluated in two experiments.  ...  For example, the topic Top/Features/Travel/Guides/ Destinations/North America/United States is truncated to Top/Features/Travel/Guides. This produces a total of 132 truncated NYT topics.  ... 
doi:10.18653/v1/w19-0404 dblp:conf/iwcs/AlokailiAS19 fatcat:lewikfpkhvgzrc2x65y34qh5la

Re-Ranking Words to Improve Interpretability of Automatically Generated Topics [article]

Areej Alokaili, Nikolaos Aletras, Mark Stevenson
2019 arXiv   pre-print
In addition, close correlation between the results of the two evaluation approaches suggests that the automatic method proposed here could be used to evaluate re-ranking methods without the need for human  ...  This paper explores the re-ranking of topic words to generate more interpretable topic representations. A range of approaches are compared and evaluated in two experiments.  ...  For example, the topic Top/Features/Travel/Guides/ Destinations/North America/United States is truncated to Top/Features/Travel/Guides. This produces a total of 132 truncated NYT topics.  ... 
arXiv:1903.12542v1 fatcat:lo7ihldigbawfgvhqfhmm7gjzy

Multi-Label Annotation and Classification of Arabic Texts Based on Extracted Seed Keyphrases and Bi-Gram Alphabet Feed Forward Neural Networks Model

Fatma Elghannam
2022 ACM Transactions on Asian and Low-Resource Language Information Processing  
The second phase involves experiments to compare the performance of various multi-label classification learning methods.  ...  This paper presents a multi-label annotation and classification methodology for Arabic text data that is not currently classified as multi-label, aiming to analyze and compare the performance of various  ...  The idea behind annotating the dataset automatically as a multi-label is to extract keyphrases from a big sample of data that reflect various topics contained in the dataset.  ... 
doi:10.1145/3539607 fatcat:ld4u43gdsrdqtm22vs27r2zuye

A Text Segmentation Approach for Automated Annotation of Online Customer Reviews, Based on Topic Modeling

Valentinus Roby Hananto, Uwe Serdült, Victor Kryssanov
2022 Applied Sciences  
This makes them a poor fit to deal with dynamic and ever-growing collections of short but semantically noisy texts of customer reviews.  ...  To solve this problem, a variety of machine learning methods was developed in the past decade. Existing methods, however, either rely on human labeling or have high computing cost, or both.  ...  Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable.  ... 
doi:10.3390/app12073412 fatcat:46g3mrpmgneidery3ppuedagga

Trends and Topics in Research and Development Related to Transportation and Traffic Planning Technology

Kunihiro KAWASAKI, Noriko FUKASAWA
2018 Quarterly Report of RTRI  
It focuses largely on a number of topics related to activities and future plans for transport planning, attaching particular importance to railway transport, passenger flow analysis, quantitative evaluation  ...  of railway customer needs and economic evaluation of mass transport.  ...  As such, a systematic review was made of all the added value of railways.  ... 
doi:10.2219/rtriqr.59.3_160 fatcat:6fsoipwk35c35pcug5pk42gaxa

Dynamic Modeling for Intelligent Transportation System Applications

W. Y. Szeto
2014 Journal of Intelligent Transportation Systems / Taylor & Francis  
I would also like to thank everyone who contributed to the conference and to the articles in the issue, including the presenters, authors and reviewers.  ...  Without their invaluable and constructive reviews, this issue would not have been possible.  ...  The fifth article, by Liu and Lam, proposes a time-dependent model to determine mode choice over time under the provision of ATIS.  ... 
doi:10.1080/15472450.2013.834770 fatcat:dwi3lgyxtbht3ajxdexgdbaaly

IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing

Yongqiang Zhao, Shirui Pan, Jia Wu, Huaiyu Wan, Huizhi Liang, Haishuai Wang, Huawei Shen
2020 IEEE Access  
In the article by Xu et al., ''A semantic based approach for topic evaluation in information filtering,'' the authors propose a model to evaluate the quality of topics by matching concepts in an ontology  ...  A hybrid approach that evaluates the effectiveness of using LOD to automatically answer Arabic questions is developed.  ... 
doi:10.1109/access.2020.3043060 fatcat:qbqk5f4ojvadlazhk2mc343sra

Safe, Resilient, and Sustainable Transportation Systems

Yuanchang Xie, Pan Liu, Chronis Stamatiadis
2016 Mathematical Problems in Engineering  
Zhang et al. proposed a Coupled Map Lattice (CML) method, based on which simulations were conducted to evaluate the impacts of various factors on network failures.  ...  Wali et al. developed a fast automatic TSDR system based on RGB color segmentation, shape matching, and a support vector machine classifier.  ...  Also, we are extremely grateful to all reviewers for their time and outstanding work, which are critical to the success and quality of this special issue. Yuanchang Xie Pan Liu Chronis Stamatiadis  ... 
doi:10.1155/2016/5696419 fatcat:w26p5lmidremnehcxmyxkqwlti
« Previous Showing results 1 — 15 out of 52,552 results