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Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory

Research article (Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2015) · cited 299× · AI/ML
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Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory

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Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory is a scholarly article[1].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-polarities-of-tweets-by-composing-word-embeddings-with-long-short-term-memory
MLA “Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-polarities-of-tweets-by-composing-word-embeddings-with-long-short-term-memory.
BibTeX @misc{4ortxyz_predicting-polarities-of-tweets-by-composing-word-embeddings-with-long-short-term-memory_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-polarities-of-tweets-by-composing-word-embeddings-with-long-short-term-memory}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory — https://4ort.xyz/entity/predicting-polarities-of-tweets-by-composing-word-embeddings-with-long-short-term-memory (retrieved 2026-05-24)

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