| A semantic measure of online review helpfulness and the importance of message entropy JE Fresneda, D Gefen Decision Support Systems 125, 113117, 2019 | 81 | 2019 |
| A guide to text analysis with latent semantic analysis in R with annotated code: Studying online reviews and the stack exchange community D Gefen, JE Endicott, JE Fresneda, J Miller, KR Larsen Communications of the Association for Information Systems 41 (1), 21, 2017 | 78 | 2017 |
| Structural Topic Modeling Segmentation: A Method Combining Latent Content and Customer Context J Fresneda, T Burnham, C Hill Journal of Marketing Management 37 (7-8), 792-812, 2021 | 15 | 2021 |
| Gazing at the stars is not enough, look at the specific word entropy, too! JE Fresneda, D Gefen Information & Management 57 (8), 2020 | 14 | 2020 |
| Trust and Distrust as Artifacts of Language: A Latent Semantic Approach to Studying Their Linguistic Correlates D Gefen, JE Fresneda, KR Larsen Frontiers in Psychology 11 (561), 2020 | 12 | 2020 |
| Synthesis of Palladium(II) and Platinum(II) Complexes with Crown Ether Phosphane Ligands: Stille Coupling of Aryl Iodides in Water J Fresneda, E De Jesús, P Gómez‐Sal, C López Mardomingo European journal of inorganic chemistry 2005 (8), 1468-1476, 2005 | 11 | 2005 |
| M1M2: deep-learning-based real-time emotion recognition from neural activity S Akter, RA Prodhan, TS Pias, D Eisenberg, J Fresneda Fernandez Sensors 22 (21), 8467, 2022 | 10 | 2022 |
| Accuracy Improvement of Vehicle Recognition by Using Smart Device Sensors P Tanmoy Sarkar, D Eisenberg, J Fresneda Sensors 22 (4397), 2022 | 9 | 2022 |
| What retailers need to understand about website inaccessibility and disabled consumers: Challenges and opportunities AH Cohen, JE Fresneda, RE Anderson The Journal of Consumer Affairs 54 (3), 854-889, 2020 | 7 | 2020 |
| How inaccessible retail websites affect blind and low vision consumers: their perceptions and responses AH Cohen, JE Fresneda, RE Anderson Journal of Service Theory and Practice, 2023 | 4 | 2023 |
| Latent semantic analysis (LSA) in python M Anandarajan, C Hill, T Nolan, M Anandarajan, C Hill, T Nolan Practical text analytics: Maximizing the value of text data, 221-242, 2019 | 3 | 2019 |
| Automatic methods for online review classification: An empirical investigation of review usefulness—An abstract J Fresneda, D Gefen Creating Marketing Magic and Innovative Future Marketing Trends: Proceedings …, 2017 | 3 | 2017 |
| Market segmentation in the emoji era J Fresneda, J Hui, C Hill Communications of the ACM 65 (4), 105–112, 2022 | 2 | 2022 |
| Three Papers on the Role of Information in Online Consumer Reviews JEF Fernandez Drexel University, 2017 | 2 | 2017 |
| Antecedents and consequences of the key opinion leader status: an econometric and machine learning approach Y Ping, C Hill, Y Zhu, J Fresneda Electronic Commerce Research 23 (3), 1459-1484, 2023 | 1 | 2023 |
| Key opinion leader and business growth: Econometrics and machine learning approaches Y Ping, J Fresneda, Y Zhu, C Hill Digital Marketing & eCommerce Conference, 52-56, 2022 | 1 | 2022 |
| SAS Visual Text Analytics M Anandarajan, C Hill, T Nolan, M Anandarajan, C Hill, T Nolan Practical Text Analytics: Maximizing the Value of Text Data, 263-282, 2019 | 1 | 2019 |
| Applying text analysis to determine factors that increase the assessed usefulness of online product reviews: an abstract J Fresneda, D Gefen Creating Marketing Magic and Innovative Future Marketing Trends: Proceedings …, 2017 | 1 | 2017 |
| CSR as an Adaptive Selling Tool: a Novel Framework and a Robust Analysis Proposal J Fresneda, D Korschun, P Kothandaraman Celebrating America’s Pastimes: Baseball, Hot Dogs, Apple Pie and Marketing …, 2016 | 1 | 2016 |
| Neuromarketing Techniques to Enhance Consumer Preference Prediction D Eisenberg, TS Pias, J Fresneda, J Fjermestad | | 2024 |
David GefenProfessor of MIS Drexel UniversityVerified email at Drexel.edu
