AOL Inc. - Dulles VA, US Sang Chul Song - Aldie VA, US Vineet Mahajan - Ashburn VA, US Elena Haliczer - New York NY, US
Assignee:
AOL Inc. - Dulles VA
International Classification:
G06N 99/00
US Classification:
706 12
Abstract:
Computerized systems and methods are disclosed for performing contextual classification of objects using supervised and unsupervised training. In accordance with one implementation, content reviewers may review training objects and submit supervised training data for preprocessing and analysis. The supervised training data may be preprocessed to identify key terms and phrases, such as by stemming, tokenization, or n-gram analysis, and form vectorized objects. The vectorized objects may be used to train one or more models for subsequent classification of objects. In certain implementations, preprocessing or training, among other steps, may be performed in parallel over multiple machines to improve efficiency. The disclosed systems and methods may be used in a wide variety of applications, such as article classification and content moderation.
Systems And Methods For Providing And Using An Internet Sentiment Index
- Dulles VA, US Sang Chul SONG - Aldie VA, US Sean Christopher TIMM - Herndon VA, US Thu Rein KYAW - Reston VA, US Saad MUFTI - Fairfax VA, US
International Classification:
G06Q 30/02
Abstract:
Systems and methods are disclosed for online distribution of content based on a user sentiment index. The method may include receiving, over a network and from a user device, one or more user generated inputs and calculating the user sentiment index based on the one or more user generated inputs. The method may also include receiving, over the network, from a content or advertising provider, instructions on publishing content or advertising to a webpage based on the calculated user sentiment index, and publishing content for display on user devices over the network based on a comparison of the calculated user sentiment index and the received instructions.
Systems And Methods For Dynamic Partitioning In Distributed Environments
Thu R. KYAW - Reston VA, US Jonathan JI - Aldie VA, US Saad MUFTI - Fairfax VA, US Sudhir ACHUTHAN - Vienna VA, US Sang Chul SONG - Aldie VA, US
International Classification:
G06F 9/50 G06F 17/30
Abstract:
Methods, systems, and computer-readable media are disclosed for dynamic partitioning in distributed computing environments. One method includes: receiving a first data set and a second data set; mapping the first data set into a first set of key-value pairs; mapping the second data set into a second set of key-value pairs; estimating, using a sketch, a frequency count for each key based on the first set of key-value pairs and the second set of key-value pairs; determining whether the estimated frequency count for each key is greater than or equal to a predetermined threshold; and partitioning the key when the estimated frequency count for the key is greater than or equal to the predetermined threshold.
Systems And Methods For Dynamic Partitioning In Distributed Environments
- New York NY, US Jonathan JI - Aldie VA, US Saad MUFTI - Fairfax VA, US Sudhir ACHUTHAN - Vienna VA, US Sang Chul SONG - Aldie VA, US
International Classification:
G06F 9/50 G06F 16/28
Abstract:
Methods, systems, and computer-readable media are disclosed for dynamic partitioning in distributed computing environments. One method includes: receiving a first data set and a second data set; mapping the first data set into a first set of key-value pairs; mapping the second data set into a second set of key-value pairs; estimating, using a sketch, a frequency count for each key based on the first set of key-value pairs and the second set of key-value pairs; determining whether the estimated frequency count for each key is greater than or equal to a predetermined threshold; and partitioning the key when the estimated frequency count for the key is greater than or equal to the predetermined threshold.
Systems And Methods For Providing And Using An Internet Sentiment Index
- Dulles VA, US Sang Chul SONG - Aldie VA, US Sean Christopher TIMM - Herndon VA, US Thu Rein KYAW - Reston VA, US Saad MUFTI - Fairfax VA, US
International Classification:
G06Q 30/02
Abstract:
Systems and methods are disclosed for online distribution of content based on a user sentiment index. The method may include receiving, over a network and from a user device, one or more user generated inputs and calculating the user sentiment index based on the one or more user generated inputs. The method may also include receiving, over the network, from a content or advertising provider, instructions on publishing content or advertising to a webpage based on the calculated user sentiment index, and publishing content for display on user devices over the network based on a comparison of the calculated user sentiment index and the received instructions.
Systems And Method For Performing Contextual Classification Using Supervised And Unsupervised Training
- Dulles VA, US Sang Chul SONG - Aldie VA, US Vineet MAHAJAN - Ashburn VA, US Elena HALICZER - New York NY, US
International Classification:
G06N 20/00 G06N 5/02 G06F 40/30 G06F 40/20
Abstract:
Computerized systems and methods are disclosed for performing contextual classification of objects using supervised and unsupervised training. In accordance with one implementation, content reviewers may review training objects and submit supervised training data for preprocessing and analysis. The supervised training data may be preprocessed to identify key terms and phrases, such as by stemming, tokenization, or n-gram analysis, and form vectorized objects. The vectorized objects may be used to train one or more models for subsequent classification of objects. In certain implementations, preprocessing or training, among other steps, may be performed in parallel over multiple machines to improve efficiency. The disclosed systems and methods may be used in a wide variety of applications, such as article classification and content moderation.
Systems And Methods For Dynamic Partitioning In Distributed Environments
- New York NY, US Jonathan JI - Aldie VA, US Saad MUFTI - Fairfax VA, US Sudhir ACHUTHAN - Vienna VA, US Sang Chul SONG - Aldie VA, US
International Classification:
G06F 17/30
Abstract:
Methods, systems, and computer-readable media are disclosed for dynamic partitioning in distributed computing environments. One method includes: receiving a first data set and a second data set; mapping the first data set into a first set of key-value pairs; mapping the second data set into a second set of key-value pairs; estimating, using a sketch, a frequency count for each key based on the first set of key-value pairs and the second set of key-value pairs; determining whether the estimated frequency count for each key is greater than or equal to a predetermined threshold; and partitioning the key when the estimated frequency count for the key is greater than or equal to the predetermined threshold.
Systems And Method For Performing Contextual Classification Using Supervised And Unsupervised Training
- Dulles VA, US Sang Chul SONG - Aldie VA, US Vineet MAHAJAN - Ashburn VA, US Elena HALICZER - New York NY, US
International Classification:
G06N 99/00 G06N 5/02
Abstract:
Computerized systems and methods are disclosed for performing contextual classification of objects using supervised and unsupervised training. In accordance with one implementation, content reviewers may review training objects and submit supervised training data for preprocessing and analysis. The supervised training data may be preprocessed to identify key terms and phrases, such as by stemming, tokenization, or n-gram analysis, and form vectorized objects. The vectorized objects may be used to train one or more models for subsequent classification of objects. In certain implementations, preprocessing or training, among other steps, may be performed in parallel over multiple machines to improve efficiency. The disclosed systems and methods may be used in a wide variety of applications, such as article classification and content moderation.
Name / Title
Company / Classification
Phones & Addresses
Sang H. Song Owner
Monroe Medical Group Health Practitioner's Office
369 Applegarth Rd, Monroe Twp, NJ 08831 6093951900
Sang Song Principal
United Shipping Business Services Courier Service
15909 Northern Blvd, Flushing, NY 11358
Sang M. Song Principal
Ak Trinity Inc Nonclassifiable Establishments
14 Aquarium Dr, Secaucus, NJ 07094
Sang H. Song Osteopathy, Owner, Physical Rehab Medicine, Principal
Song Physical Medicine, PC Health/Allied Services
15 Main St, Edison, NJ 08837
Sang H. Song Physical Rehab Medicine
Avenel-Iselin Medical Group PA Inc Osteopathic Physician's Office
400 Gill Ln, Iselin, NJ 08830 7324041580
Sang Ho Song
Sang Song DO Physical Medicine
15 S Main St, Edison, NJ 08837 7329916882
Sang C. Song
Sang Song DMD Dentists · Oral Surgeons
1828 W Lk Ave, Neptune, NJ 07753 7327764464
Sang Bong Song Owner
VIVARI CORPORATION Beauy Consultant
158-14 Northern Blvd / #LL-4, Flushing, NY 11358 15814 Northern Blvd, Flushing, NY 11358 247 W 37 St, Flushing, NY 11361 4531 Bell Blvd, Flushing, NY 11361 7184619429
Medicine Doctors
Dr. Sang H Song, Edison NJ - DO (Doctor of Osteopathic Medicine)
Physical Medicine & Rehabilitation, Internal Medicine
Work:
Ivy Medicine 700 Patchogue Yaphank Rd STE 49, Medford, NY 11763 6316731177 (phone), 6316732286 (fax)
Education:
Medical School UMDNJ New Jersey Medical School at Newark Graduated: 1996
Procedures:
Neurological Testing
Languages:
English
Description:
Dr. Song graduated from the UMDNJ New Jersey Medical School at Newark in 1996. He works in Medford, NY and specializes in Physical Medicine & Rehabilitation and Internal Medicine.
Dr. Song graduated from the UMDNJ School of Osteopathic Medicine in 2000. He works in Iselin, NJ and 1 other location and specializes in Physical Medicine & Rehabilitation. Dr. Song is affiliated with John F Kennedy Medical Center and Robert Wood Johnson University Hospital.
Medical School Yonsei Univ, Coll of Med, Sudai Moon Ku, Seoul, So Korea Graduated: 1960
Languages:
English Spanish
Description:
Dr. Song graduated from the Yonsei Univ, Coll of Med, Sudai Moon Ku, Seoul, So Korea in 1960. He works in Bristol, PA and specializes in Anatomic Pathology & Clinical Pathology. Dr. Song is affiliated with Lower Bucks Hospital.