Moreover, social media sentiment analysis is a fundamental problem with many interesting applications. Most current social media sentiment classification methods judge the sentiment polarity primarily according to textual content and neglect other information on these platforms. In this paper, we propose a...
In the past few decades, the twitter sentiment analysis has gained great attention among the researcher's communities, due to the advance in machine and deep learning techniques. In this research, the European and Indian people's opinions are examined towards COVID-19 during the specified time ...
- 《Demographic Research》 被引量: 0发表: 2019年 Sentiment Analysis of Twitter Data We examine sentiment analysis on Twitter data. The contributions of this paper are: (1) We introduce POS-specific prior polarity fea- tures. (2) We explore... A Agarwal,B Xie,I Vovsha,... - ...
Cite this paper Passi, K., Motisariya, J. (2022). Twitter Sentiment Analysis of the 2019 Indian Election. In: Senjyu, T., Mahalle, P., Perumal, T., Joshi, A. (eds) IOT with Smart Systems. Smart Innovation, Systems and Technologies, vol 251. Springer, Singapore. https://doi.org/...
About this paper Cite this paper Garg, Y., Chatterjee, N. (2014). Sentiment Analysis of Twitter Feeds. In: Srinivasa, S., Mehta, S. (eds) Big Data Analytics. BDA 2014. Lecture Notes in Computer Science, vol 8883. Springer, Cham. https://doi.org/10.1007/978-3-319-13820-6_3 ...
In recent years, the interest among the research community in sentiment analysis (SA) has grown exponentially. It is only necessary to see the number of scientific publications and forums or related conferences to understand that this is a field with great prospects for the future. On the other...
:mortar_board:RESEARCH:smirk_cat: [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter. :thumbsup: - lixiang0/Sentiment-Analysis-Twitter
Sentiment analysis, an important part of text mining, attempts to learn about the authors' opinion on a text through its content and structure. Such information is particularly valuable for determining the overall opinion of a large number of people. Examples of the usefulness of this are ...
This paper aims to apply topic modeling and sentiment analysis methods on COVID-19 Twitter data comparing English and Portuguese languages. The main questions investigated here are: (i) topics from different languages (especially English and Portuguese) are distinct from each other? (ii) how is ...
My experiences using social media, the business-centric focus of my grad classes, and my love for burritos inspired me to look into Twitter sentiment analysis. [I also needed to research something that wasn’t baseball.] Imagine every time you’ve misinterpreted a text message from your friend...