# Improving RE-SWOT Analysis with Sentiment Classification: A Case Study of Travel Agencies
## 5 Discussion, Implications, and Conclusions
### Discussion  
SWOT analysis is an important technique used by organizations to identify their strengths, weaknesses, opportunities, and threats. Strengths and weaknesses are internal elements, while opportunities and threats are external elements, usually coming from the company's competitors. Through SWOT, organizations can understand their positions and develop competitive strategies accordingly. Up to now, SWOT analysis has been a useful tool in various fields [32]. In addition to the enterprise level, SWOT can be applied to the application level, such as in tourism destination planning or for analyzing products or services [33]. SWOT analysis can facilitate software requirements as well [34; 35]. Recently, eliciting requirements from online user reviews has become a software engineering trend [36; 37]. With the help of NLP, [PERSON] et al. [38] found that the automatic analysis of user requirements has better scalability than manual analysis. The Requirements Engineering Lab (RE-Lab) at Utrecht University continuously conduct research on NLP for software requirements engineering [39]. Inspired by SWOT analysis, [PERSON] and [PERSON] [10] proposed the RE-SWOT method to automatically generate a SWOT matrix for mobile apps with online user reviews gathered from app stores. RE-SWOT is a novel tool that can reduce the burden associated with generating a SWOT matrix. RE-SWOT requires user ratings to calculate the FPS, which is used as the basis to determine which features belong to which part of the SWOT matrix. However, [PERSON] and [PERSON] did not mention what to do if there are no user ratings. [PERSON]'s Master's thesis focused on the fostering creativity of app designers [40]. [PERSON] et al. [41] used a crowdsourcing approach to improve the elicitation of requirements with existing NLP techniques. Considering the difficulties involved in conducting RE within a governmental organization, [PERSON] et al. [42] developed a crowd-based method, called KMar-Crowd, to encourage user engagement in requirement elicitation. Therefore, the problems associated with RE-SWOT were still left unresolved. Because the mobile industry is one of the fastest growing and most dynamic IT industries [43], understanding essential factors associated with mobile app requirements is an important issue [44]. Valuing the idea of [PERSON] and [PERSON], some researchers also conducted competitive analyses of mobile apps using online user reviews. [PERSON] et al. [45] developed a tool, called RevSUM, that can automatically extract the most relevant features from user reviews for an app developer. [PERSON] et al. [46] proposed a review analysis method, called FeatCompare, that can automatically identify high-level features by comparing \begin{table}
\begin{tabular}{c c c c} \hline  & **Recall** & **Precision** & **F1-Score** \\ \hline Positive & 0.9852 & 0.8130 & 0.8909 \\ \hline Neural & 0.2778 & 0.6000 & 0.3797 \\ \hline Negative & 0.5128 & 0.8000 & 0.6250 \\ \hline \end{tabular}
\end{table} 
Table 4: The performance measurements of VADER. user reviews among competing apps. [PERSON] [47] utilized an explainable neutral network to establish a classification model to extract product features that lead to differentiation from competitors. Later, [PERSON] and [PERSON] [48] established a more suitable model to enhance the performance of [PERSON]'s model. Because of the semantic gap between end users and developers, the priorities of requirements perceived by users are usually different from that of developers. [PERSON] et al. [49] extracted quantifiable properties from user feedback and used domain ontology to narrow the gap to prioritize requirements according to user preferences. However, no study has improved the RE-SWOT. Because [PERSON] and [PERSON] studied mobile apps and the app store has rich reviews and ratings, the RE-SWOT problem appeared minor to them. Since RE-SWOT provides an easy way to conduct a SWOT analysis, making RE-SWOT practicable for any kind of product, it is valuable.