Analyze a stream of HTML and outputs the article title, text, and image
Usually you have some feed, there will give you the title and perhaps a short description of the article. However its rare that it contains the image and certainly never the full context. This module will scrape the raw article html of the page and find as minimum the
npm install article
var source = '';// The image url will be resolved from the `source` url;
For a demo you can run the analyse server I use for reliability scoring:
git clone https://github.com/AndreasMadsen/article.gitcd articlenpm installnode tools/analyse/open http://localhost:9100
This is the current result (Mon Jul 29 2013).
Note this data is the same data I've used to build the heuristic algorithm. So there is a risk that the algorithm is overfitted.
The title can either be wrong or perfect. Perfetct means that it is the actual article title without any newspaper name or similar redundant information.
The text can be wrong, bad, good and perfect. Wrong means that none of the text is related to the article. Bad means that there are enogth noise to give seriouse troubble in a text analysis. Good is almost perfect expect for minor noise such as author information or social network button text.
Image can be wrong, good and perfect. Wrong is an image there is unrealted to the article or if no image could be found. Good is either not the main article or a lower resolution image than the expected perfect image.
The software is license under "MIT"
Copyright (c) 2013 Andreas Madsen
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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