Sentiment Analysis using Linguistic Structures - (Adv-Adj-Noun)

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Aruna A S
Praveen K Wilson

Abstract

Nowadays individuals as well as institutions are paying increasing attention to sentiment analysis. Companies are interested in what bloggers are saying about their products. Politicians are interested in how different news media are portraying them. Governments are interested in how foreign news media are representing their actions. An automatic method is thus needed that is capable of processing and analyzing the information. In my research proposing for the first time, an Adverb-adjective- noun combinations (AAN) based sentiment analysis technique deploying linguistic analysis of adverbs of degree, adjective and abstract noun. Here define a set of general axioms (based on a classification of adverbs of degree into five categories, classification of abstract noun in two categories) for opinion analysis. This has been a significant advancement from the previous research on this domain. There is currently no automated domain-independent sentiment classification tool, with high accuracy that does not need a manually-annotated corpus. Such a tool is needed for opinion search, recommendation, summarization and mining of the increasingly web opinionated content.


Keywords: Sentiment analysis, Adverb-adjective-noun combination, adverbs of degree, abstract noun, domain-independent sentiment classification tool

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