Natural Language Jobs

I want someone who is an expert in NLP with more than 3 years of experienced

I need an expert in GPT-3 to increase token length

I need someone who is an expert in GPT Neo 1.5B Models hugging face

Publishing social media data would raise more concerns on user privacy. To encourage data sharing and mitigate user privacy concerns, a number of anonymization and de-anonymization algorithms have been developed to help protect privacy of social media users. In this work, we propose a new adversarial attack specialized for social media data. We further provide a principled way to assess effectiveness of anonymizing different aspects of social media data. Our work sheds light on new privacy risks in social media data due to innate heterogeneity of user-generated data which require striking balance between sharing user data and protecting user privacy.

Publishing social media data would raise more concerns on user privacy. To encourage data sharing and mitigate user privacy concerns, a number of anonymization and de-anonymization algorithms have been developed to help protect privacy of social media users. In this work, we propose a new adversarial attack specialized for social media data. We further provide a principled way to assess effectiveness of anonymizing different aspects of social media data. Our work sheds light on new privacy risks in social media data due to innate heterogeneity of user-generated data which require striking balance between sharing user data and protecting user privacy.

Publishing social media data would raise more concerns on user privacy. To encourage data sharing and mitigate user privacy concerns, a number of anonymization and de-anonymization algorithms have been developed to help protect privacy of social media users. In this work, we propose a new adversarial attack specialized for social media data. We further provide a principled way to assess effectiveness of anonymizing different aspects of social media data. Our work sheds light on new privacy risks in social media data due to innate heterogeneity of user-generated data which require striking balance between sharing user data and protecting user privacy.

By combining the topic model with network analysis, multiple topics contained in news text are analyzed by topic modeling, and then the topics are placed in a network structure, where topics are nodes and the relationships (edges) between topics are calculated by their co-occurrence degree in the document, and finally, the topics with high similarity are clustered by community detection technology to obtain macro topics with high generality. (The program code and the result list of analysis are needed.)

Looking for an expert in African American English who can help in identifying the type of audio and dialect of the audio.