Feature-based-opinion-mining
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Extracting all the features of a product from its reviews, giving every feature a score (depending on the user reviews) and also ranking the reviews based on their usefulness
整体运行起来 bug太多了。困、。while 是无限循环 if (count < len(x) and (x[e][1] == "NN" or "JJ") and (x[count][1] == "NN" or "JJ")): 这个失效啊
How to classify a review file which is not in the defined manner (to classify any type of review file)
The "WithNGrams.py" file is not human-readable. Please make the variables and the method names legible along with any other optimizations (if possible).