An increasing number of studies in political communication focus on the “sentiment” or “tone” of news content, political speeches, or advertisements. This growing interest in measuring sentiment coincides with a dramatic increase in the volume of digitized information. Computer automation has a great deal of potential in this new media environment. The objective here is to outline and validate ...

This paper presents a method of improving lexicon-based review classification by merging multiple sentiment dictionaries, and selectively removing and switching the contents of merged dictionaries. First, we compare the positive/negative book review classification performance of eight individual sentiment dictionaries. Then, we select the seven dictionaries with greater than 50% accuracy and co...

Sentiment analysis of Twitter data is performed. The researcher has made the following contributions via this paper: (1) an innovative method for deriving sentiment score dictionaries using an existing sentiment dictionary as seed words is explored, and (2) an analysis of clustered tweet sentiment scores based on tweet length is performed.

In this paper, the crucial ingredients for our submission to SemEval-2014 Task 4 “Aspect Level Sentiment Analysis” are discussed. We present a simple aspect detection algorithm, a co-occurrence based method for category detection and a dictionary based sentiment classification algorithm. The dictionary for the latter is based on co-occurrences as well. The failure analysis and related work sect...

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 ...

In traditional web crawling, all pages crawled are first stored to databases. As a result, this approach can store unnecessary and requires additional running time for the construction of sentiment dictionary in particular domain because words should be identified by scanning database. To address these problems, we define sentiment-aware crawling problem then propose two hash-based methods impl...

We present two NLP components for the Story Cloze Task – dictionary-based sentiment analysis and lexical cohesion. While previous research found no contribution from sentiment analysis to the accuracy on this task, we demonstrate that sentiment is an important aspect. We describe a new approach, using a rule that estimates sentiment congruence in a story. Our sentiment-based system achieves str...