\sayAttention for Detecting Unreliable News in the Information Age
Table 3: Number of words per sentence and number of sentences per document distribution on training data.
['[BOLD] Unreliable News Data 2017', '[BOLD] Unreliable News Data 2017 Words/sentence', '[BOLD] Unreliable News Data 2017 Sentences/document']
The data was pre-processed before use to clean and standardize the article’s raw text. NLTK’s The sentences and words were trimmed or padded to a sequence length of 64, which covers 95% of the data. A vocabulary of 65510 most occurring words from the training data is used for word embedding matrix of embedding layer in Keras. Class weights are used to scale the training loss to mitigate the data imbalance problem.