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DeepMoji:机器学习模型分析情绪, 情感

  •   fendouai_com · 2017-10-05 22:36:22 +08:00 · 1752 次点击
    这是一个创建于 1994 天前的主题,其中的信息可能已经有所发展或是发生改变。

    DeepMoji 是一个模型,接受 12 亿个带有表情的推文,以了解语言如何表达情绪。 通过转移学习,该模型可以在许多情感相关的文本建模任务上获得最先进的表现。

    http://deepmoji.mit.edu 尝试我们的在线演示! 有关详细信息,请参阅论文,博文或常见问题。

    项目地址: https://github.com/bfelbo/DeepMoji

    机器学习: http://www.tensorflownews.com

    DeepMoji is a model trained on 1.2 billion tweets with emojis to understand how language is used to express emotions. Through transfer learning the model can obtain state-of-the-art performance on many emotion-related text modeling tasks.

    Try our online demo at http://deepmoji.mit.edu! See the paper, blog post or FAQ for more details.

    Overview deepmoji/ contains all the underlying code needed to convert a dataset to our vocabulary and use our model. examples/ contains short code snippets showing how to convert a dataset to our vocabulary, load up the model and run it on that dataset. scripts/ contains code for processing and analysing datasets to reproduce results in the paper. model/ contains the pretrained model and vocabulary. data/ contains raw and processed datasets that we include in this repository for testing. tests/ contains unit tests for the codebase. To start out with, have a look inside the examples/ directory. See score_texts_emojis.py for how to use DeepMoji to extract emoji predictions, encode_texts.py for how to convert text into 2304-dimensional emotional feature vectors or finetune_youtube_last.py for how to use the model for transfer learning on a new dataset.

    Please consider citing our paper if you use our model or code (see below for citation).

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