Invasion culturomics is an emerging field of study that utilizes digital data existing on the Internet to reveal the human dimension of nonindigenous species (NIS) invasions. Although hypothetical approaches have been used to examine explanatory variables that predict the amount of public attention by using proxies, it has been difficult to observe direct associations between these variables. Here, we aimed to deepen our understanding of the relationship between people and NIS by analyzing the content of texts about NIS on social media, and by clarifying the context and aspects to which public attention is directed. Specifically, we quantified tweets about NIS to identify popular NIS that attract a lot of public attention on Twitter. We also identified hidden topics in which NIS names occurred by applying topic modeling to tweets, and we investigated the topic distribution over popular NIS. A relatively small number of species were selected as popular NIS for further analysis, and 25 hidden topics were identified from all the tweets used in the analysis. The topic distribution over popular NIS had three patterns across taxonomic groups: (1) biased among topics but consistent within taxonomic groups; (2) relatively even among topics and consistent within taxonomic groups; and (3) not consistent within taxonomic groups and with biases differing among species. These findings can provide important insights into the formulation of a better strategy for NIS management by approaching the social and human dimensions of NIS invasion; such a strategy would include information dissemination, environmental education, and management campaigns.