D. Thenmozhi

646 total citations
44 papers, 355 citations indexed

About

D. Thenmozhi is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, D. Thenmozhi has authored 44 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 7 papers in Information Systems and 3 papers in Molecular Biology. Recurrent topics in D. Thenmozhi's work include Topic Modeling (17 papers), Hate Speech and Cyberbullying Detection (13 papers) and Natural Language Processing Techniques (11 papers). D. Thenmozhi is often cited by papers focused on Topic Modeling (17 papers), Hate Speech and Cyberbullying Detection (13 papers) and Natural Language Processing Techniques (11 papers). D. Thenmozhi collaborates with scholars based in India, Ireland and United States. D. Thenmozhi's co-authors include P. Mirunalini, S. M. Jaisakthi, Chandrabose Aravindan, Bharathi Raja Chakravarthi, Ruba Priyadharshini, Sajeetha Thavareesan, Rahul Ponnusamy, Kogilavani Shanmugavadivel, Saima Sadiq and Prasanna Kumar Kumaresan and has published in prestigious journals such as The Computer Journal, International Journal of Machine Learning and Cybernetics and Neural Processing Letters.

In The Last Decade

D. Thenmozhi

39 papers receiving 318 citations

Peers

D. Thenmozhi
Eftekhar Hossain Bangladesh
D. Thenmozhi
Citations per year, relative to D. Thenmozhi D. Thenmozhi (= 1×) peers Eftekhar Hossain

Countries citing papers authored by D. Thenmozhi

Since Specialization
Citations

This map shows the geographic impact of D. Thenmozhi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D. Thenmozhi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Thenmozhi more than expected).

Fields of papers citing papers by D. Thenmozhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Thenmozhi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D. Thenmozhi. The network helps show where D. Thenmozhi may publish in the future.

Co-authorship network of co-authors of D. Thenmozhi

This figure shows the co-authorship network connecting the top 25 collaborators of D. Thenmozhi. A scholar is included among the top collaborators of D. Thenmozhi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Thenmozhi. D. Thenmozhi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Thenmozhi, D., et al.. (2024). EFFECTIVE OFFENSIVE LANGUAGE DEDUCTION USING DEEP LEARNING IN SOCIAL MEDIA. 69(2). 201–206.
2.
Thenmozhi, D., et al.. (2023). Findings of Shared task on Sarcasm Identification in Code-Mixed Dravidian Languages. 22–24. 1 indexed citations
3.
Chakravarthi, Bharathi Raja, Ruba Priyadharshini, D. Thenmozhi, et al.. (2022). Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments. 369–377. 7 indexed citations
4.
Thenmozhi, D., et al.. (2022). Findings of the Shared Task on Detecting Signs of Depression from Social Media. 331–338. 25 indexed citations
5.
Thenmozhi, D., et al.. (2020). SSN_NLP_MLRG@Dravidian-CodeMix-FIRE2020: Sentiment Code-Mixed Text Classification in Tamil and Malayalam using ULMFiT.. 528–534. 3 indexed citations
6.
Thenmozhi, D., et al.. (2020). Transformers in Semantic Indexing of Clinical Codes.. CLEF (Working Notes). 3 indexed citations
7.
Thenmozhi, D., et al.. (2020). Sarcasm Identification and Detection in Conversion Context using BERT. 72–76. 16 indexed citations
10.
Thenmozhi, D., et al.. (2019). Early Detection of Anorexia using RNN-LSTM and SVM Classifiers.. CLEF (Working Notes). 4 indexed citations
11.
Thenmozhi, D., et al.. (2019). Arabic Author Profiling and Deception Detection using Traditional Learning Methodologies with Word Embedding.. 100–104. 1 indexed citations
12.
Thenmozhi, D., et al.. (2019). Extracting Protests from News Using LSTM models with different Attention Mechanisms.. CLEF (Working Notes). 1 indexed citations
13.
Thenmozhi, D., et al.. (2019). SSN_NLP@IDAT-FIRE-2019: Irony Detection in Arabic Tweets using Deep Learning and Features-based Approaches.. 439–444. 5 indexed citations
14.
Thenmozhi, D., et al.. (2019). Classification of Insincere Questions using SGD Optimization and SVM Classifiers.. 463–467. 1 indexed citations
15.
Thenmozhi, D., et al.. (2019). Legal Assistance using Word Embeddings.. 36–39. 6 indexed citations
17.
Thenmozhi, D., et al.. (2018). SSN_NLP@IECSIL-FIRE-2018: Deep Learning Approach to Named Entity Recognition and Relation Extraction for Conversational Systems in Indian Languages.. 187–201. 4 indexed citations
18.
Thenmozhi, D., et al.. (2018). Deep Learning Approach to English-Tamil and Hindi-Tamil Verb Phrase Translations.. 323–331. 1 indexed citations
19.
Thenmozhi, D., et al.. (2017). A Text Similarity Approach for Precedence Retrieval from Legal Documents.. 90–91. 7 indexed citations
20.
Thenmozhi, D., P. Mirunalini, & Chandrabose Aravindan. (2016). Decision Tree Approach for Consumer Health Information Search.. 221–225.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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