Lightfield Camera Technology Is That Still A Thing
Before computing the distance score, we clean the article titles and bodies by removing stop words and special symbols and computing their bag of n-grams representations. The semantic distance of articles is calculated using word embeddings and the WMD. For the word embeddings, we experimented with different word embeddings such as fastText and the pre-trained Google news embeddings. The quality of the word embeddings depends on the size of training data, thus, we use pre-trained word embeddings. The five articles with the least distance are then selected for computation with the original WMD. The WMD returns a distance score for each remaining article from the individual sources. The smaller the distance, the more related the articles are. Only articles that are below a predefined threshold are considered as similar to the given article. We set the distance threshold by empirically checking the distances of a couple of articles. Similar news articles, i.e. articles that fall below the...