Based on the online travel notes posted on online platforms, it is possible to visualize people’s experience of the landscape when visiting. This makes it possible to use online data resources to analyze how visitors perceive the image of plant landscapes. Spring is the time of year with the most abundant changes in plant landscapes. By interpreting the behavioral preferences and emotional changes of visitors in spring, analyzing the way visitors perceive spring plant landscapes, and exploring the correlation between plant landscape image perception and plant landscape components, we can expand the perspective of landscape experience research and a new approach to plant landscape research. This study takes online travelogue texts as the main research object, which are posted by tourists on online platforms about the spring plant landscape in the Beijing-Tianjin-Hebei region. Through the screening of network texts, the data required for the research are collected, and the results are analyzed. The research includes word frequency analysis of landscape image perception and plant landscape image perception, image attribute category analysis, social semantic network analysis, and emotional attitude analysis. With the help of ROST Content Mining 6.0 software for text content parsing, the high-frequency words of plant landscape image attributes were used as indicators to rank and categorize the frequency of word occurrences, and comparative analysis was conducted to obtain the basic characteristics of spring plant landscape image perception. The study concluded that the most frequently occurring words are nouns, mainly are the names of plants and flower viewing locations; the category analysis of image attributes shows that the word frequency statistics of flowering plant species are significantly higher than those of other categories (morphological characteristics, color characteristics, quantity scale); among plant species, the statistical data of cherry blossom (Cerasus yedoensis), peach blossom (Amygdalus persica), and begonia (Malus spectabilis) are significantly higher than other plants; the analysis of social semantic network further shows that viewing cherry blossom and peach blossom in the park is a common impression of tourists in spring; the analysis of emotional attitude finds that negative emotions are influenced by complex factors, including flowering status, weather conditions, and proximity of obstacles.