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Therefore, it is desirable to\nintegrate the connections between target word and context words when building a\nlearning system. In this paper, we develop two target dependent long short-term\nmemory (LSTM) models, where target information is automatically taken into\naccount. We evaluate our methods on a benchmark dataset from Twitter. Empirical\nresults show that modeling sentence representation with standard LSTM does not\nperform well. Incorporating target information into LSTM can significantly\nboost the classification accuracy. The target-dependent LSTM models achieve\nstate-of-the-art performances without using syntactic parser or external\nsentiment lexicons.","url_abs":"http://arxiv.org/abs/1512.01100v2","url_pdf":"http://arxiv.org/pdf/1512.01100v2.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":"effective-lstms-for-target-dependent","repo_url":"https://github.com/NUSTM/ABSC","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"effective-lstms-for-target-dependent","repo_url":"https://github.com/bluemonk482/tdparse","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"effective-lstms-for-target-dependent","repo_url":"https://github.com/hiyouga/PBAN-PyTorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"effective-lstms-for-target-dependent","repo_url":"https://github.com/jimmyyfeng/TD-LSTM","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"effective-lstms-for-target-dependent","repo_url":"https://github.com/mahuiming/TD-LSTM","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"effective-lstms-for-target-dependent","repo_url":"https://github.com/mindspore-courses/ABSA-MindSpore","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"mindspore","reach":{"status":"gone","observed_at":"2026-09-17","how":"tree_404+repo_404"}},{"paper_slug":"effective-lstms-for-target-dependent","repo_url":"https://github.com/prabhupad26/100daysofML","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"effective-lstms-for-target-dependent","repo_url":"https://github.com/ridakadri14/AspectBasedSentimentAnalysis","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"effective-lstms-for-target-dependent","repo_url":"https://github.com/songyouwei/ABSA-PyTorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"effective-lstms-for-target-dependent","repo_url":"https://github.com/xiaojianhai/aspect_sentiment","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"aspect-based-sentiment-analysis","task_name":"Aspect-Based Sentiment Analysis (ABSA)"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"sentiment-classification","task_name":"Sentiment Classification"}],"methods":[{"method_slug":"lstm","method_name":"LSTM"},{"method_slug":"sigmoid-activation","method_name":"Sigmoid Activation"},{"method_slug":"tanh-activation","method_name":"Tanh Activation"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/aspect-based-sentiment-analysis-on-semeval","task":"Aspect-Based Sentiment Analysis (ABSA)","dataset":"SemEval-2014 Task-4","model":"TD-LSTM","rank_in_archive_order":43,"of":48,"metrics":{"Laptop (Acc)":"68.13","Mean Acc (Restaurant + Laptop)":"71.88","Restaurant (Acc)":"75.63"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1512.01100","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1512.01100"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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