On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis

WS 2018 Jose Camacho-ColladosMohammad Taher Pilehvar

Text preprocessing is often the first step in the pipeline of a Natural Language Processing (NLP) system, with potential impact in its final performance. Despite its importance, text preprocessing has not received much attention in the deep learning literature... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Sentiment Analysis IMDb CNN+LSTM Accuracy 88.9 # 16
Text Classification Ohsumed CNN+Lowercased Accuracy 36.2 # 6
Sentiment Analysis SST-2 Binary classification CNN Accuracy 91.2 # 20

Methods used in the Paper


METHOD TYPE
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