This work includes processing and classification of tweets which are written in Turkish
language. Four different sector tweet datasets are vectorized with Word Embedding model …

People often use social platforms to state their views and desires. Twitter is one of the most
popular microblog service used for this purpose. In this study, we propose a new approach …

Due to the continuous and rapid growth of daily posted data on the social media sites in
many different languages, the automated classification of this huge amount of data has …

Sentiment analysis is one of the most useful tools in social media monitoring. Implementing
sentiment analysis on data gained from social media (Blogs, Twitter, and Facebook) can …

ÖzetçeHigh dimensionality of feature space is major problem due to the sentiment analysis
is usually considered as text classification problem. In this study, we investigated the …

Tweet sentiment analysis is a deep learning study that is beneficial for automatically
determining public opinion on a certain topic. Using the long short-term memory (LSTM) …

In the last few years, with rapid growth in use of networking sites such as twitter and
Facebook has been increased greatly. This also attracted the researcher to use social …

Recently, social networks have experienced an exponential growth, providing online users
with a venue for expressing and sharing their views in a variety of areas. A very popular …

Today, people are able to express their opinions and ideas on any subject using personal
blogs or a variety of social media environments. Contents shared by users with each …

Sentiment analysis is a text classifying problem and because of its popularity and
commercial revenue, it has been widely studied. The most important point in text …