A survey on intention analysis: successful approaches and open challenges
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A survey on intention analysis: successful approaches and open challenges Mohamed Hamroun1 · Mohamed Salah Gouider1 Received: 10 October 2019 / Revised: 9 April 2020 / Accepted: 13 April 2020 / © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Intention Analysis is a computational task that analyzes people’s desires, wishes, and attitudes from user-generated texts. This sub-field of text mining has recently attracted research interest. This research paper provides an overview and an analysis of the latest studies in this field. These studies were categorized and summarized according to their contributions and the techniques they used. Several proposed approaches and some real applications were investigated in depth and presented in detail. Moreover, some related fields to intention analysis such as Transfer Learning (TL), Spam Detection (SD), and Building Resources (BR) were discussed in this survey of the literature dedicated to Intention Analysis. The aim of this survey is to give a comprehensive view of the intention analysis field supported by a number of graphics and summary tables about the literature. The paper concludes by identifying a number of research topics that can be promising for future research. Keywords Intention analysis · Social media · Machine learning · Natural language processing · Text Mining
1 Introduction With the advent of social media (Twitter, Facebook, · · · ) and online review sites (IMDB, Amazon, Yelp, · · · ), people wholeheartedly involve in sharing their experiences on the web ranging from the personal needs to global issues. The world is now embellished by social media which paves the way to share the user’s desires or wishes of anything across the world. This enables the market to analyze the intention, sentiment or opinion by excerpting and examining the feedbacks of the users. Intentions are considered as the key influencers of human behaviors. Intention Analysis (IA) is the field that analyzes people’s desires, wishes, and attitudes from user-generated texts. It is considered as one of the active research topics in natural Mohamed Hamroun
[email protected] Mohamed Salah Gouider [email protected] 1
Department of Computer Science, ISG-Tunis, University of Tunis, Tunis, Tunisia
Journal of Intelligent Information Systems
language processing. Analyzing user intentions may have a big business itself for marketing and political purposes. With the progressive increase in number of blogs, forums, and social media, individuals and organizations are massively sharing their content in these media seeking help in their own decision making or trying to influence for others decision making in their favor. However, identifying user intentions from the Web and analyzing the information they provide remain challenging tasks due to the proliferation of sites and the large size of data generated by these sources. An average human reader will have difficulty identifying relevant sites and extracting the right intentions of their owners. Hence, autom
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