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User personality prediction based on topic preference and sentiment analysis using LSTM model

Research article (Pattern Recognition Letters, 2020) · cited 76× · AI/ML
academia openalex:W3046082395
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User personality prediction based on topic preference and sentiment analysis using LSTM model

Summary

User personality prediction based on topic preference and sentiment analysis using LSTM model is a scholarly article[1].

Key Facts

  • User personality prediction based on topic preference and sentiment analysis using LSTM model's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). User personality prediction based on topic preference and sentiment analysis using LSTM model. Retrieved May 24, 2026, from https://4ort.xyz/entity/user-personality-prediction-based-on-topic-preference-and-sentiment-analysis-using-lstm-model
MLA “User personality prediction based on topic preference and sentiment analysis using LSTM model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/user-personality-prediction-based-on-topic-preference-and-sentiment-analysis-using-lstm-model.
BibTeX @misc{4ortxyz_user-personality-prediction-based-on-topic-preference-and-sentiment-analysis-using-lstm-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{User personality prediction based on topic preference and sentiment analysis using LSTM model}}, year = {2026}, url = {https://4ort.xyz/entity/user-personality-prediction-based-on-topic-preference-and-sentiment-analysis-using-lstm-model}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): User personality prediction based on topic preference and sentiment analysis using LSTM model — https://4ort.xyz/entity/user-personality-prediction-based-on-topic-preference-and-sentiment-analysis-using-lstm-model (retrieved 2026-05-24)

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