Mohammad Shakir

Title: Innovations of Mohammad Shakir

Introduction

Mohammad Shakir is an accomplished inventor based in Gurgaon, India. He has made significant contributions to the field of text processing and summarization, holding a total of 3 patents. His work focuses on enhancing the efficiency and relevance of text summarization methods.

Latest Patents

One of his latest patents is titled "Systems and methods for generating causal insight summary." This innovation addresses the limitations of conventional text summarization methods, which often rely on rule-based approaches and require extensive datasets for training. The system detects important events and determines their relevance to users by processing text descriptions for named entity recognition, identifying sentence polarities, and extracting causal effects sentences. A customized causal insight summary is then generated based on user preferences.

Another notable patent is the "Method and system for text cleaning." This invention tackles the challenge of differentiating between domain terms and noise terms in enterprise and social media data. The system classifies words as dictionary or non-dictionary and identifies domain-specific terms while correcting noise terms. This innovation significantly improves text processing accuracy.

Career Highlights

Mohammad Shakir is currently employed at Tata Consultancy Services Limited, where he applies his expertise in text processing and summarization. His work has contributed to advancements in how organizations handle and interpret large volumes of text data.

Collaborations

He collaborates with talented coworkers, including Lipika Dey and Ishan Verma, to further enhance the capabilities of their projects and innovations.

Conclusion

Mohammad Shakir's contributions to text processing and summarization demonstrate his commitment to innovation in the field. His patents reflect a deep understanding of the challenges in text analysis and offer practical solutions that benefit users and organizations alike.