Sobha Lalitha Devi
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Speech and dialogue systems
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- Music and Audio Processing
Papers in
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- Natural Language Processing Techniques 43
- Topic Modeling 42
- Speech and dialogue systems 9
- Advanced Text Analysis Techniques 8
- Sentiment Analysis and Opinion Mining 5
- Text Readability and Simplification 5
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- Biomedical Text Mining and Ontologies 5
- Co-authors
- Elisabeth Lex (1 shared paper)Ruslan Mitkov (2 shared papers)S. Lakshmi (3 shared papers)Pushpak Bhattacharyya (1 shared paper)K Saravanan (1 shared paper)V. Kavitha (2 shared papers)Κ. V. Subbarao (1 shared paper)Sudeshna Sarkar (2 shared papers)
In The Last Decade
Sobha Lalitha Devi
47 papers receiving 202 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 200
- Signal Processing 19
- Computer Vision and Pattern Recognition 35
- Language and Linguistics 14
- General Social Sciences 3
Countries citing papers authored by Sobha Lalitha Devi
This map shows the geographic impact of Sobha Lalitha Devi'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 Sobha Lalitha Devi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sobha Lalitha Devi more than expected).
Fields of papers citing papers by Sobha Lalitha Devi
This network shows the impact of papers produced by Sobha Lalitha Devi. 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 Sobha Lalitha Devi. The network helps show where Sobha Lalitha Devi may publish in the future.
Co-authors
The 14 scholars most cited alongside Sobha Lalitha Devi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 28 | |
| 2 | 2009 | 25 | |
| 3 | CMEE-IL: Code Mix Entity Extraction in Indian Languages from Social Media Text @ FIRE 2016 - An Overview. | 2016 | 14 |
| 4 | 2009 | 11 | |
| 5 | Tamil NER - Coping with Real Time Challenges | 2012 | 11 |
| 6 | ESM-IL: Entity Extraction from Social Media Text for Indian Languages @ FIRE 2015 - An Overview. | 2015 | 10 |
| 7 | 2008 | 10 | |
| 8 | HMM based POS Tagger for a Relatively Free Word Order Language | 2006 | 9 |
| 9 | A Generic Anaphora Resolution Engine for Indian Languages | 2014 | 9 |
| 10 | An alternate approach towards meaningful lyric generation in Tamil | 2010 | 8 |
| 11 | 2013 | 7 | |
| 12 | 2010 | 6 | |
| 13 | External Plagiarism Detection - Lab Report for PAN at CLEF 2010. | 2010 | 6 |
| 14 | Resolution for Pronouns in Tamil Using CRF | 2012 | 5 |
| 15 | 2018 | 4 | |
| 16 | CLRG ChemNER: A Chemical Named Entity Recognizer @ ChEMU CLEF 2020. | 2020 | 4 |
| 17 | 2014 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2015 | 4 | |
| 20 | Overview of the FIRE 2020 EDNIL Track: Event Detection from News in Indian Languages. | 2020 | 3 |
About Sobha Lalitha Devi
Sobha Lalitha Devi is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Language and Linguistics, having authored 51 papers that have together received 229 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (43 papers), Topic Modeling (42 papers), Speech and dialogue systems (9 papers), Advanced Text Analysis Techniques (8 papers), Web Data Mining and Analysis (5 papers), Sentiment Analysis and Opinion Mining (5 papers), Text Readability and Simplification (5 papers) and Biomedical Text Mining and Ontologies (5 papers). The work is most often cited by research in Artificial Intelligence (200 citations), Signal Processing (19 citations), Computer Vision and Pattern Recognition (35 citations), Language and Linguistics (14 citations) and General Social Sciences (3 citations). Sobha Lalitha Devi has collaborated with scholars based in India, Canada and Austria. Frequent co-authors include Elisabeth Lex, Ruslan Mitkov, S. Lakshmi, Pushpak Bhattacharyya, K Saravanan, V. Kavitha, Κ. V. Subbarao, Sudeshna Sarkar, Kalika Bali and Paolo Rosso. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Sadhana, International Journal of Business Intelligence and Data Mining, Lecture notes in computer science and Computación y Sistemas.
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.