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This study used Natural Language Processing of YouTube comments to provide ecologically-valid, non-laboratory results about people\u2019s emotional reactions toward robots. It contains analyses of 224,544 comments from 1515 videos showing robots from a wide humanlikeness spectrum. The humanlikeness scores were acquired from the Anthropomorphic roBOT database. The analysis showed that people use words related to eeriness to describe very humanlike robots. Humanlikeness was linearly related to both general sentiment and perceptions of eeriness\u2014-more humanlike robots elicit more negative emotions. One of the subscales of humanlikeness, Facial Features, showed a UVH-like relationship with both sentiment and eeriness. The exploratory analysis demonstrated that the most suitable words for measuring the self-reported uncanny valley effect are: \u2018scary\u2019 and \u2018creepy\u2019. In contrast to theoretical expectations, the results showed that humanlikeness was not related to either pleasantness or attractiveness. Finally, it was also found that the size of robots influences sentiment toward the robots. According to the analysis, the reason behind this is the perception of smaller robots as more playable (as toys), although the prediction that bigger robots would be perceived as more threatening was not supported.\n<\/jats:p>","DOI":"10.1007\/s12369-022-00905-x","type":"journal-article","created":{"date-parts":[[2022,8,16]],"date-time":"2022-08-16T08:03:50Z","timestamp":1660637030000},"page":"1787-1803","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Shape of the Uncanny Valley and Emotional Attitudes Toward Robots Assessed by an Analysis of YouTube Comments"],"prefix":"10.1007","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8323-9935","authenticated-orcid":false,"given":"Dawid","family":"Ratajczyk","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,8,16]]},"reference":[{"key":"905_CR1","doi-asserted-by":"crossref","unstructured":"Ahmed K, El\u00a0Tazi N, Hossny AH (2015) Sentiment analysis over social networks: an overview. 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