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Using sentiment analysis in customer reviews has immense potential but encounters challenges owing to domain heterogeneity. The sentiment orientation of words varies by domain; however, comprehending domain-specific sentiment reviews remains a significant constraint.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Aim<\/jats:title>\n                <jats:p>This study proposes an Improved VADER (IVADER) lexicon-based classification model to evaluate customer sentiment in multiple domains. The model involves constructing a domain-specific dictionary based on the VADER lexicon and classifying doeviews using the constructed dictionary.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methodology<\/jats:title>\n                <jats:p>The proposed IVADER model uses data preprocessing, Vectorizer transformation, WordnetLemmatizer-based feature selection, and enhanced VADER Lexicon classifier.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Result<\/jats:title>\n                <jats:p>Compared to existing studies, the IVVADER model accomplished outcomes of accuracy of 98.64%, precision of 97%, recall of 94%, f1-measure of 92%, and less training time of 44\u00a0s for classification.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Outcome<\/jats:title>\n                <jats:p>Product designers and business organizations can benefit from the IVADER model to evaluate multi-domain customer sentiment and introduce new products in the competitive online marketplace.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s40537-023-00861-x","type":"journal-article","created":{"date-parts":[[2024,1,7]],"date-time":"2024-01-07T12:01:59Z","timestamp":1704628919000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":50,"title":["Analysis of customer reviews with an improved VADER lexicon classifier"],"prefix":"10.1186","volume":"11","author":[{"given":"Kousik","family":"Barik","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sanjay","family":"Misra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,1,7]]},"reference":[{"key":"861_CR1","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/5536560","author":"NM Alharbi","year":"2021","unstructured":"Alharbi NM, Alghamdi NS, Alkhammash EH, Al Amri JF. 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