{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-deep-neural-architecture-for-sentence-level","title":"A Deep Neural Architecture for Sentence-level Sentiment Classification in Twitter Social Networking","arxiv_id":"1706.08032","date":"2017-06-25","proceeding":null,"authors":["Huy Nguyen","Minh-Le Nguyen"],"abstract":"This paper introduces a novel deep learning framework including a\nlexicon-based approach for sentence-level prediction of sentiment label\ndistribution. We propose to first apply semantic rules and then use a Deep\nConvolutional Neural Network (DeepCNN) for character-level embeddings in order\nto increase information for word-level embedding. After that, a Bidirectional\nLong Short-Term Memory Network (Bi-LSTM) produces a sentence-wide feature\nrepresentation from the word-level embedding. We evaluate our approach on three\nTwitter sentiment classification datasets. Experimental results show that our\nmodel can improve the classification accuracy of sentence-level sentiment\nanalysis in Twitter social networking.","url_abs":"http://arxiv.org/abs/1706.08032v1","url_pdf":"http://arxiv.org/pdf/1706.08032v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-deep-neural-architecture-for-sentence-level","repo_url":"https://github.com/huynt-plus/papers","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"},{"task_slug":"sentiment-classification","task_name":"Sentiment Classification"}],"methods":[{"method_slug":"memory-network","method_name":"Memory Network"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}