Supporting Serendipitous Discovery and Balanced Analysis of Online Product Reviews with Interaction-Driven Metrics and Bias-Mitigating Suggestions

Author:

Jasim Mahmood1,Collins Christopher2,Sarvghad Ali1,Mahyar Narges1

Affiliation:

1. University of Massachusetts Amherst, United States and University of Massachusetts Amherst, United States

2. Ontario Tech University, Canada and Ontario Tech University, Canada

Publisher

ACM

Reference115 articles.

1. 2021. Python Anywhere. Retrieved August 20 2021 from https://www.pythonanywhere.com/ 2021. Python Anywhere. Retrieved August 20 2021 from https://www.pythonanywhere.com/

2. Serendip: Topic model-driven visual exploration of text corpora

3. SoS TextVis: An Extended Survey of Surveys on Text Visualization

4. Mehdi Allahyari Seyedamin Pouriyeh Mehdi Assefi Saeid Safaei Elizabeth D Trippe Juan B Gutierrez and Krys Kochut. 2017. Text summarization techniques: a brief survey. arXiv preprint arXiv:1707.02268(2017). Mehdi Allahyari Seyedamin Pouriyeh Mehdi Assefi Saeid Safaei Elizabeth D Trippe Juan B Gutierrez and Krys Kochut. 2017. Text summarization techniques: a brief survey. arXiv preprint arXiv:1707.02268(2017).

5. Amazon. 2021. Community Guidelines. Retrieved September 1 2021 from https://www.amazon.com/gp/help/customer/display.html?nodeId=GLHXEX85MENUE4XF Amazon. 2021. Community Guidelines. Retrieved September 1 2021 from https://www.amazon.com/gp/help/customer/display.html?nodeId=GLHXEX85MENUE4XF

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