Tene Ramakrishnudu

According to our database, Tene Ramakrishnudu authored at least 11 papers between 2018 and 2025.

Collaborative distances:

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

2025

Bias-resilient multi-label deep learning hybrid model for stance detection.

Km Poonam, Tene Ramakrishnudu

Int. J. Data Sci. Anal., November, 2025

Dual Bi-LSTM-GRU based stance detection in tweets ordered classes.

Km Poonam, Tene Ramakrishnudu

Neural Comput. Appl., June, 2025

Emotion mining for early suicidal threat detection on both social media and suicide notes using context dynamic masking-based transformer with deep learning.

Kodati Dheeraj, Ramakrishnudu Tene

Multim. Tools Appl., April, 2025

Advancing mental health detection in texts via multi-task learning with soft-parameter sharing transformers.

Kodati Dheeraj, Ramakrishnudu Tene

Neural Comput. Appl., February, 2025

Improving stance detection with an advanced multi-tree learning approach.

Km Poonam, Tene Ramakrishnudu

Comput. Electr. Eng., 2025

2024

Sarcasm-based tweet-level stress detection.

Prashanth K. V. T. K. N., Tene Ramakrishnudu

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

2023

Identifying suicidal emotions on social media through transformer-based deep learning.

Kodati Dheeraj, Ramakrishnudu Tene

Appl. Intell., May, 2023

Semi-supervised approach for tweet-level stress detection.

Prashanth K. V. T. K. N., Tene Ramakrishnudu

Nat. Lang. Process. J., 2023

2022

A novel method for detecting psychological stress at tweet level using neighborhood tweets.

Prashanth K. V. T. K. N., Tene Ramakrishnudu

J. King Saud Univ. Comput. Inf. Sci., 2022

2021

Negative emotions detection on online mental-health related patients texts using the deep learning with MHA-BCNN model.

Kodati Dheeraj, Tene Ramakrishnudu

Expert Syst. Appl., 2021

2018

Personalised Context Aware Content Relevant Disease Prediction And Diet Recommendation System.

Ramakrishnudu Tene, Balakrishna Tangedipalli

Proceedings of the Social Transformation, 2018