Ulligaddala Srinivasarao

According to our database, Ulligaddala Srinivasarao authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Sentiment analysis from email pattern using feature selection algorithm.

Ulligaddala Srinivasarao, Aakanksha Sharaff

Expert Syst. J. Knowl. Eng., February, 2024

Optimized aspect and self-attention aware LSTM for target-based semantic analysis (OAS-LSTM-TSA).

B. Vasavi, P. Dileep, Ulligaddala Srinivasarao

Data Technol. Appl., 2024

2023

SMS sentiment classification using an evolutionary optimization based fuzzy recurrent neural network.

Ulligaddala Srinivasarao, Aakanksha Sharaff

Multim. Tools Appl., November, 2023

Application of Convolutional Neural Networks for COVID-19 Detection in X-ray Images Using InceptionV3 and U-Net.

Aman Gupta, Shashank Mishra, Sourav Chandan Sahu, Ulligaddala Srinivasarao, K. Jairam Naik

New Gener. Comput., June, 2023

Machine intelligence based hybrid classifier for spam detection and sentiment analysis of SMS messages.

Ulligaddala Srinivasarao, Aakanksha Sharaff

Multim. Tools Appl., 2023

Spam email classification and sentiment analysis based on semantic similarity methods.

Ulligaddala Srinivasarao, Aakanksha Sharaff

Int. J. Comput. Sci. Eng., 2023

2022

Email thread sentiment sequence identification using PLSA clustering algorithm.

Ulligaddala Srinivasarao, Aakanksha Sharaff

Expert Syst. Appl., 2022