Sentiment analysis has become one of the most common method to classify stock market behaviour. Moreover, sentiment analysis has gained a lot of importance in the last decade …
Sentiment analysis has become one of the most popular process to predict stock market behaviour based on consumer reactions. Concurrently, the availability of data from Twitter …
Sentiment analysis has gained a lot of importance in last decade especially on the availability of data from Twitter that has created more interest for research in this field …
AE Siwi, EB Setiawan - 2022 10th International Conference on …, 2022 - ieeexplore.ieee.org
In June 2019, there was an accident to the Mandiri bank system. On the same day of the accident, Mandiri bank stock price is decreasing. Many customers use social media as a …
K Kelebeng, H Hlomani - International Journal of Database …, 2017 - researchgate.net
Over the years the stock market has proved to be very difficult to predict due to its unpredictable activities. Data mining techniques such as clustering, decision trees, genetic …
SF Yazdani, MAA Murad, NM Sharef… - … Journal of Pattern …, 2017 - World Scientific
Sentiment classification of financial news deals with the identification of positive and negative news so that they can be applied in decision support systems for stock trend …
Sentiment analysis is the statistical analysis of simple sentiment cues. Essentially, it involves making statistical analyses on polarized statements (ie, statements with a positive, negative …
KS Chong, N Shah - International Journal of Advanced …, 2022 - search.proquest.com
This paper compares the performance of Naive Bayes and SVM classifiers classification based on sentiment analysis of healthcare companies' stock comments in Bursa Malaysia …
Stock investment application is getting more attention from the public. Nowadays the Internet has an important role in promulgating information to its users. There are a huge amount of …