Feature-Level Sentiment Analysis Based on Rules and Fine-Grained Domain Ontology
نویسندگان
چکیده
منابع مشابه
Feature based Sentiment Analysis using a Domain Ontology
With the increase of unstructured social media data, sentiment analysis can be applied to infer useful information to assist organizations and their customers. We propose a model for feature-based sentiment analysis using ontology to address queries like:“which car is more comfortable?, which car has better performance and interior?”. Feature based sentiment analysis is done using SentiWordNet ...
متن کاملFine-Grained Sentiment Analysis with Structural Features
Sentiment analysis is the problem of determining the polarity of a text with respect to a particular topic. For most applications, however, it is not only necessary to derive the polarity of a text as a whole but also to extract negative and positive utterances on a more finegrained level. Sentiment analysis systems working on the (sub-)sentence level, however, are difficult to develop since sh...
متن کاملTarget Based Review Classification for Fine-grained Sentiment Analysis
Target based sentiment classification is able to provide more fine grained sentiment analysis. In this paper, we propose a similarity based approach for this problem. Firstly, a new measure of PMI-TFIDF by combining PMI (Pointwise mutual information) and TF-IDF (term frequency-inverse document frequency) is proposed to measure the association of words for extending related features for a given ...
متن کاملA CCG-based Approach to Fine-Grained Sentiment Analysis
In this paper, we present a Combinatory Categorial Grammar (CCG) based approach to the classification of emotion in short texts. We develop a method that makes use of the notion put forward by Ortony et al. (1988), that emotions are valenced reactions. This hypothesis sits central to our system, in which we adapt contextual valence shifters to infer the emotional content of a text. We integrate...
متن کاملFine-grained German Sentiment Analysis on Social Media
Expressing opinions and emotions on social media becomes a frequent activity in daily life. People express their opinions about various targets via social media and they are also interested to know about other opinions on the same target. Automatically identifying the sentiment of these texts and also the strength of the opinions is an enormous help for people and organizations who are willing ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: KNOWLEDGE ORGANIZATION
سال: 2020
ISSN: 0943-7444
DOI: 10.5771/0943-7444-2020-2-105