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Reddit 评论分数预测,使用 NLP 预测评论分数

Reddit 评论分数预测,使用 NLP 预测评论分数

1.8G
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NLP,Computer Science,Social Science Classification

The idea behind this dataset is to try to predict whether a particular comment would be highly up-voted or down-voted gi......

数据结构 ? 1.8G

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    The idea behind this dataset is to try to predict whether a particular comment would be highly up-voted or down-voted given the parent comment.

    Presently, I have a model that does fairly well (70+% accuracy on several validation sets) using neural network with a combination of BOW and word embeddings inputs. The BOW input feeds into a dense feed-forward layer, and the word embeddings feed into an LSTM layer.

    The code is mostly in Python using Keras and will be posted shortly.

    Content

    This dataset is a subset of a much larger dataset of 380+ million reddit comments. This dataset contains 4 million of the reddit comments, 2 million of which are the lowest scored (highly downvoted), and 2 million of which are the highest scored (highly upvoted).

    For convenience, the dataset includes the text and other metadata of the parent comment.


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