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Utilizing pre-existing software artifacts, such as libraries and ApplicationProgramming Interfaces (APIs), is crucial for software development efficiency.However, the abundance of artifacts that provide similar functionality can leadto confusion among developers, resulting in a challenge for proper selectionand implementation. Through our preliminary investigation, we found thatutilizing the collective knowledge of a crowd can greatly assist developers inacquiring a thorough and complete understanding of the complexities involved inthe software development process. Especially as emotions are an inseparablepart of human nature, it influences developers' activities. In this regard, weattempt to build a tool that can retrieve sentiment information for softwareAPIs so that developers can determine APIs to utilize for their tasks. Weemploy the dataset from the most popular platforms (i.e., Twitter and YouTube)to build our research prototype. The source code, tool, and demo video areavailable on GitHub at \url{https://github.com/FalconLK/APISens}.

APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge