due to the increasing growth of digital content on the internet and social media, sentiment analysis problem is one of the emerging fields. this problem deals with information extraction and knowledge discovery from textual data using natural language processing has attracted the attention of many researchers. construction of sentiment lexicon as a valuable language resource is a one of the imp...

The evaluative character of a word is called its semantic orientation. A positive semantic orientation implies desirability (e.g., “honest”, “intrepid”) and a negative semantic orientation implies undesirability (e.g., “disturbing”, “superfluous”). This paper introduces a simple algorithm for unsupervised learning of semantic orientation from extremely large corpora. The method involves issuing...

The evaluative character of a word is called its semantic orientation. A positive semantic orientation implies desirability (e.g., “honest”, “intrepid”) and a negative semantic orientation implies undesirability (e.g., “disturbing”, “superfluous”). This paper introduces a simple algorithm for unsupervised learning of semantic orientation from extremely large corpora. The method involves issuing...

This paper presents a simple unsupervised learning algorithm for classifying reviews as recommended (thumbs up) or not recommended (thumbs down). The classification of a review is predicted by the average semantic orientation of the phrases in the review that contain adjectives or adverbs. A phrase has a positive semantic orientation when it has good associations (e.g., “subtle nuances”) and a ...

0950-7051/$ see front matter 2012 Elsevier B.V. A http://dx.doi.org/10.1016/j.knosys.2012.04.011 ⇑ Corresponding author at: MOE Key Laboratory Network Security, Xi’an Jiaotong University, Xi’an 71 82667964. E-mail addresses: [email protected] (T. Xu (Q. Peng). Sentiment analysis continues to be a most important research problem due to its abundant applications. Identifying the semantic orien...

We present a method for identifying the positive or negative semantic orientation of foreign words. Identifying the semantic orientation of words has numerous applications in the areas of text classification, analysis of product review, analysis of responses to surveys, and mining online discussions. Identifying the semantic orientation of English words has been extensively studied in literatur...

1 Semantic Orientation of Adjectives Antonymy Linguistic tests for complementaries and antonymy type Linguistic vs. natural polarity Antonymy Linguistic tests for complementaries and antonymy type Linguistic vs. natural polarity Oppositeness and Antonymy There are different kinds of opposites: complementaries and antonyms Semantic orientation: degree of positiveness/negativeness. Many antonyms ...