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Compromised Tweet Detection Using weighted sub-word embeddings
(2019-08-07)
Extracting features and writing styles from short text messages for compromised tweet detection is always a challenge. Short messages, such as tweets, do not have enough data to perform statistical authorship attribution. ...
USING NLP TO QUANTIFY THE EFFECTS OF NON-GAAP MEASURES TO PREDICT THE OUTCOME OF SECURITIES LAWSUITS
(2019-12-10)
The Management Discussion and Analysis (MD&A) is arguably the most tonal section of the reports provided to the U.S. Securities and Exchange Commission. As part of that dialogue, companies use non-standardized financial ...
An Ensemble Regression Approach For OCR Error Correction
(2017-04-11)
This thesis deals with the problem of error correction for Optical Character Recognation (OCR) generated text, or OCR-postprocessing: how to detect error words in a text generated from OCR process and to suggest the most ...
Applying Speech Recognition and Language Processing Methods to Transcribe and Structure Physicians’ Audio Notes to a Standardized Clinical Report Format
(2020-03-10)
Clinical documentation is an audio recording of the clinical encounter by the specialist which is subsequently manually transcribed to be added to the patient’s medical record. The current clinical documentation process ...
Music Composer Recognition from MIDI Representation using Deep Learning and N-gram Based Methods
(2022-10-07)
In order to answer conceptually basic queries like “Who created this piece?” the
discipline of computational musicology frequently requires the analysis of detailed
characteristics. Melodic lines, rhythmic patterns, ...
Common N-Gram Method: A Promising Approach to Detecting Mental Health Disorders on Social Media
(2023-04-13)
This paper addresses the mental health challenges posed by the COVID-19 pandemic and the lack of reliable and accessible diagnostic tools for mental health conditions. The dataset used in this research consists of over 2 ...
CONTEXT-AWARE SEMANTIC TEXT MINING AND REPRESENTATION LEARNING FOR TEXT DISAMBIGUATION AND ONLINE HARASSMENT CLASSIFICATION
(2023-12-15)
This dissertation presents a new method for text representation learning and applies it to two Natural Language Processing (NLP) problems, namely, word sense disambiguation and text classification. Word Sense Disambiguation ...