Sentiment Analysis for Airlines Services Based on Twitter Dataset - ScienceDirectPrayag TiwariPranay YadavSachin KumarBrojo Kishore Mishra §Gia Nhu NguyenSarada Prasad GochhayatJagendra Singh ‖Mukesh PrasadSocial Network Analytics
We have used a twitter dataset of 1.6 million data consisting of general tweets on various domains with 800,000 POSITIVE and 800,000 NEGATIVE sentiments. We have developed 3 models with Recurrent Neural Network (RNN), Bi-directional RNN, Long Short-Term Memory (LSTM). Our work focuses on ...
The presented model obtained better prediction accuracy and f-score value on the COVID-19 English labelled tweets dataset. Görmez et al. [26] developed a stacked ensemble method for sentiment analysis on the Turkish movie and SemEval-2017 datasets. By reviewing the existing works, the main ...
To perform sentiment analysis over a corpus of tweets during the U.S. 2012 Re-Election about the candidates Barack Obama and Mitt Romney. The previous best score on the test dataset was 64 % f1-score, suggesting that improvements can be obtained using modern machine learning / deep learning ...
我们导师让我实现三分类,三分类问题有一些传统的办法,将sentiment 分成[0, 1]的score,通过LR 或者 SVM 对数据进行分类,最终分成三类,这样的三分类大概可以实现60%的acc dataset 来源于 Download the Full Training Data for SemEval-2017 Task 4 我用CNN模型对数据进行分析,对数据预处理 For preprocessing text...
We can also use the public APIs provided by certain websites to get access to their dataset.Get it with APIFirst, it is well known that Twitter provides public APIs for developers to read and write tweets conveniently. The REST API identifies Twitter applications and users using OAuth. Thus,...
Let’s start with our Twitter data. We will use the open-sourceTwitter Tweets Data for Sentiment Analysisdataset. It contains 32,000 tweets, of which 2,000 contain negative sentiment. The target variable for this dataset is ‘label’, which maps negative tweets to 1, and anything else to ...
Also, the tweets intended for these famous British politicians are analyzed geospatially and their sentiment distribution is visualized. The geospatial sentiment analysis of the whole dataset for "leave" and "remain" tags is also plotted on the atlas map....
1 As an effect, large and well-studied Twitter datasets, like the Edinburgh Twitter Corpus (Petrović et al., 2010) and the SNAP dataset (Yang & Leskovec, 2011) are now not publicly available. The unavailability of public Twitter data has severe effects on the measurement of the ...
[25] proposed a metaheuristic-based method based on K-means and Cuckoo search to find optimum cluster-heads from the sentiment contents of the Twitter dataset. Ensemble technique is another approach that combines more than one classifier into a single classifier to improve the performance of the ...