Sentiment analysis has come long way since it was introduced as a natural language
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …

Explosive growth of data in digital world leads to the requirement of efficient technique to
store and transmit data. Due to limited resources, data compression (DC) techniques are …

The wealth of unstructured text on the online web portal has made opinion mining the most
thrust area for researchers, academicians, and businesses to extract information for …

Micro-blog texts contain complex and abundant sentiments which reflect user's standpoints
or opinions on a given topic. However, the existing classification method of sentiments …

Aspect-based sentiment analysis (ABSA) task is a fine-grained task of natural language
processing and consists of two subtasks: aspect term extraction (ATE) and aspect polarity …

The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …

Sentiment analysis is an important natural language processing issue that has many
applications in various fields. The increasing popularity of social networks and growth and …

User-generated content on various Internet platforms is growing explosively, and contains
valuable information that helps decision-making. However, extracting this information …

Aspect-based sentiment analysis aims at identifying sentiment polarity towards aspect
targets in a sentence. Previously, the task was modeled as a sentence-level sentiment …

Sentiment Analysis (SA) of text reviews is an emerging concern in Natural Language
Processing (NLP). It is a broadly active method for analyzing and extracting opinions from …