A Framework for Sentiment Analysis in Persian
Author:
Publisher
Scientific Online Publishing, Co. Ltd.
Subject
General Engineering
Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. LexiSNTAGMM: an unsupervised framework for sentiment classification in data from distinct domains, synergistically integrating dictionary-based and machine learning approaches;Social Network Analysis and Mining;2024-05-18
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3. Automatically generate sentiment lexicon for the Persian stock market;Signal and Data Processing;2023-09-01
4. Deep aspect extraction and classification for opinion mining in e‐commerce applications using convolutional neural network feature extraction followed by long short term memory attention model;Applied AI Letters;2023-08-09
5. A Sentiment Analysis Dataset Preparation Framework: A Case Study on User Reviews Dataset on Iranian Tourist Destinations;2023 9th International Conference on Web Research (ICWR);2023-05-03
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