Objective Clinical documents reflect a patient's health status in terms of observations and
contain objective information such as descriptions of examination results, diagnoses and …

The study investigates relative effectiveness of four sentiment analysis techniques:(1)
unsupervised lexicon-based model using SentiWordNet,(2) traditional supervised machine …

The existing senti-lexicon does not sufficiently accommodate the sentiment word that is used
in the restaurant review. Therefore, this thesis proposes a new senti-lexicon for the …

Sentiment lexicons have been leveraged as a useful source of features for sentiment
analysis models, leading to the state-of-the-art accuracies. On the other hand, most existing …

Deriving prior polarity lexica for sentiment analysis-where positive or negative scores are
associated with words out of context-is a challenging task. Usually, a trade-off between …

Sentiment analysis has drawn considerable interest among researchers owing to the
realization of its fascinating commercial and business benefits. This paper deals with …

With the development of Web 2.0, sentiment analysis has now become a popular research
problem to tackle. Recently, topic models have been introduced for the simultaneous …

The process of locating and categorizing viewpoints or feelings represented in the source
text is known as sentiment analysis. Social media information like blog posts, status updates …

Recently. recommender systems have become a very crucial application in the online
market and e-commerce as users are often astounded by choices and preferences and they …

Thanks to the technological revolution that has accompanied the Web 2.0, users are able to
interact intensively on the Internet, as reflected in social networks, blogs, forums, etc. In …