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We then develop sentiment classification models using the Twitter-specific lexicon and the DAN2 machine learning approach, which has demonstrated success in other text classification problems.

Other investigators may find the methods we developed useful for cleaning text using lexicons specific to their area of interest.

We show that DAN2 produces more accurate sentiment classification results than SVM while using the same Twitter-specific lexicon.

These include software that: gathers clinical discourse into appropriate units (paragraphs, sentences, words); expands and disambiguates temporal expressions; and identifies pertinent expressions from within a specific lexicon and assesses the context of each expression's use (or negation).

They usually feel liberated upon learning that there's no specific lexicon awaiting memorisation.

Others, like Ford's Sync, respond to only a specific lexicon, though it contains thousands of words.

The second type of variation can be addressed with the use of domain-specific lexicons and word lists.

Due to the lack of openly available section recognition tools and corpora, most works still used the dictionary-based approaches with section-specific lexicon to recognize section headings in practice.

Stems that can be used as verbs (categories 1 3) were matched on their combinatorial complexity (number of complements they can take and the entropy of this distribution, both P > 0.1), using the Valex lexicon (http://www.cl.cam.ac.uk/∼alk23/subcat/lexicon.html).html

In this research, we introduce an approach to supervised feature reduction using n-grams and statistical analysis to develop a Twitter-specific lexicon for sentiment analysis.

Clinicians interpret the mammograms using a standard reporting lexicon.

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