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Evaluation of High Line City Park User Satisfaction with Machine Learning: Year-Based Sentiment Analysis

https://doi.org/10.2139/ssrn.4789025
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1 of the 37 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-04): 10.1155/2022/5211949 (notice 2023-10-11).

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/asi.21067openalex-extracted
Opinion mining and relationship discovery using CopeOpi opinion analysis system
inferredcites →https://doi.org/10.1007/978-3-030-32233-5_50openalex-extracted
Implicit Objective Network for Emotion Detection
inferredcites →https://doi.org/10.1007/s10660-017-9257-8openalex-extracted
A model for sentiment and emotion analysis of unstructured social media text
inferredcites →https://doi.org/10.1016/j.icte.2020.04.003openalex-extracted
Sentiment analysis of malayalam tweets using machine learning techniques
inferredcites →https://doi.org/10.1016/j.inffus.2023.02.028openalex-extracted
Multimodal sentiment analysis based on fusion methods: A survey
inferredcites →https://doi.org/10.1016/j.inffus.2023.101973openalex-extracted
Modality translation-based multimodal sentiment analysis under uncertain missing modalities
inferredcites →https://doi.org/10.1016/j.ipm.2018.07.006openalex-extracted
A comprehensive survey of arabic sentiment analysis
inferredcites →https://doi.org/10.1016/j.ipm.2021.102641openalex-extracted
Modeling label-wise syntax for fine-grained sentiment analysis of reviews via memory-based neural model
inferredcites →https://doi.org/10.1016/j.ipm.2023.103538openalex-extracted
Coordinated-joint translation fusion framework with sentiment-interactive graph convolutional networks for multimodal sentiment analysis
inferredcites →https://doi.org/10.1016/j.is.2017.12.007openalex-extracted
Survey and evaluation of web search engine hit counts as research tools in computational linguistics
inferredcites →https://doi.org/10.1016/j.jort.2023.100672openalex-extracted
Classifying visually appealing elements in parks using social media data-assisted eye-tracking: Case study of Shinsui parks in Tokyo, Japan
inferredcites →https://doi.org/10.1016/j.seta.2022.102557openalex-extracted
Sentiment analysis using machine learning: Progress in the machine intelligence for data science
inferredcites →https://doi.org/10.1023/b:bttj.0000047600.45421.6dopenalex-extracted
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
inferredcites →https://doi.org/10.1080/02699939208411068openalex-extracted
An argument for basic emotions
inferredcites →https://doi.org/10.1080/19312458.2020.1869198openalex-extracted
The Validity of Sentiment Analysis: Comparing Manual Annotation, Crowd-Coding, Dictionary Approaches, and Machine Learning Algorithms
inferredcites →https://doi.org/10.1088/1742-6596/772/1/012063openalex-extracted
Emotion models for textual emotion classification
inferredcites →https://doi.org/10.1108/ijilt-11-2016-0051openalex-extracted
Internet usage, user satisfaction, task-technology fit, and performance impact among public sector employees in Yemen
inferredcites →https://doi.org/10.1142/s0219622018500128openalex-extracted
Deep Learning Techniques for Polarity Classification in Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.1145/3569966.3570082openalex-extracted
Research on Tourists' Emotional Expression Based on Web Text Analysis
inferredcites →https://doi.org/10.1145/3569966.3570084openalex-extracted
Research on spatial development strategy of Daxu ancient town scenic spot based on big data analysis
inferredcites →https://doi.org/10.1155/2022/5211949openalex-extracted
Real-Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques
inferredcites →https://doi.org/10.1177/0308518x16677969openalex-extracted
Neoliberal urbanism, public space, and the greening of the growth machine: New York City’s High Line park
inferredcites →https://doi.org/10.1561/1500000011openalex-extracted
Opinion Mining and Sentiment Analysis
inferredcites →https://doi.org/10.1561/9781601981516openalex-extracted
Opinion Mining and Sentiment Analysis
inferredcites →https://doi.org/10.1609/aaai.v30i1.9974openalex-extracted
Context-Sensitive Twitter Sentiment Classification Using Neural Network
inferredcites →https://doi.org/10.18653/v1/d15-1298openalex-extracted
PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis
inferredcites →https://doi.org/10.24205/03276716.2020.2065openalex-extracted
Amazon Product Sentiment Analysis using Machine Learning Techniques
inferredcites →https://doi.org/10.25139/inform.v9i1.5465openalex-extracted
Sentiment Analysis on the Shopee Application on Playstore Using the Random Forest Classification Method
inferredcites →https://doi.org/10.29080/systemic.v3i2.234openalex-extracted
Analisis Sentimen Pada Ulasan Aplikasi Mobile Menggunakan Naive Bayes dan Normalisasi Kata Berbasis Levenshtein Distance (Studi Kasus Aplikasi BCA Mobile)
inferredcites →https://doi.org/10.3115/v1/p14-2009openalex-extracted
Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification
inferredcites →https://doi.org/10.3390/land11060865openalex-extracted
Coupling Coordination Evaluation of Lakefront Landscape Spatial Quality and Public Sentiment
inferredcites →https://doi.org/10.3390/su12218895openalex-extracted
Tweeting the High Line Life: A Social Media Lens on Urban Green Spaces
inferredcites →https://doi.org/10.3390/telecom3020019openalex-extracted
Stock Market Prediction Using Microblogging Sentiment Analysis and Machine Learning
inferredcites →https://doi.org/10.4135/9781412984744openalex-extracted
Linear Probability, Logit, and Probit Models
inferredcites →https://doi.org/10.46481/jnsps.2021.308openalex-extracted
Sentiment Analysis using various Machine Learning and Deep Learning Techniques
inferredcites →https://doi.org/10.48550/arxiv.cs/0205070openalex-extracted
Thumbs up? Sentiment Classification using Machine Learning Techniques
inferredcites →https://doi.org/10.5120/ijca2017916005openalex-extracted
Sentiment Analysis of Movie Reviews using Machine Learning Techniques
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