Essays about: "Text preprocessing"

Showing result 1 - 5 of 32 essays containing the words Text preprocessing.

1. 1. IŻ SWÓJ JĘZYK MAJĄ! An exploration of the computational methods for identifying language variation in Polish

   University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

   Author : Maria Irena Szawerna; [2023-06-19]
   Keywords : language variation; Polish; diachronic linguistics; part-of-speech tagging; lemmatization; corpus linguistics;

   Abstract : Computational approaches to language variation continue to contribute in a relevant way to various fields, including Natural Language Processing (NLP) and linguistics. Being able to accommodate variation within natural language increases the robustness of NLP models and their usefulness in real-life applications; simultaneously, detecting and describing variation and trends that govern it is one of the main goals of sociolinguistics and historical linguistics, meaning that some of the advances in NLP can contribute to these fields as well. READ MORE

3. 2. Sentimental Analysis of CyberbullyingTweets with SVM Technique

   University essay from

   Author : Hrushikesh Thanikonda; Kavya Sree Koneti; [2023]
   Keywords : Cyberbullying tweets; Dataset; Data preprocessing; Machine Learning; Supervised Learning; Support Vector Machine; Validation.;

   Abstract : Background: Cyberbullying involves the use of digital technologies to harass, humiliate, or threaten individuals or groups. This form of bullying can occur on various platforms such as social media, messaging apps, gaming platforms, and mobile phones. With the outbreak of covid-19, there was a drastic increase in utilization of social media. READ MORE

4. 3. Recommendation of Text Properties for Short Texts with the Use of Machine Learning : A Comparative Study of State-of-the-Art Techniques Including BERT and GPT-2

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Luciano Zapata; [2023]
   Keywords : Text classification; Short texts; Deep Learning; BERT; GPT; GPT-2; Transformers; Natural Language Processing; Textklassificering; Korta Texter; Djupinlärning; BERT; GPT; GPT-2; Transformatorer; Naturlig språkbehandling;

   Abstract : Text mining has gained considerable attention due to the extensive usage ofelectronic documents. The significant increase in electronic document usagehas created a necessity to process and analyze them effectively. READ MORE

5. 4. Automatic Analysis of Peer Feedback using Machine Learning and Explainable Artificial Intelligence

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Kevin Huang; [2023]
   Keywords : Text classification; Peer feedback; Explainable Artificial Intelligence; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM education; Textklassificering; Feedback till kamrater; Förklarig Artificiell Intelligens; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM-utbildning;

   Abstract : Peer assessment is a process where learners evaluate and provide feedback on one another’s performance, which is critical to the student learning process. Earlier research has shown that it can improve student learning outcomes in various settings, including the setting of engineering education, in which collaborative teaching and learning activities are common. READ MORE

6. 5. Text Curation for Clustering of Free-text Survey Responses

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Anton Gefvert; [2023]
   Keywords : Natural Language Processing; NLP; Sentence Representations; Sentence Representation Models; Survey; Surveys; Clustring;

   Abstract : When issuing surveys, having the option for free-text answer fields is only feasible where the number of respondents is small, as the work to summarize the answers becomes unmanageable with a large number of responses. Using NLP techniques to cluster these answers and summarize them would allow a greater range of survey creators to incorporate free-text answers in their survey, without making their workload too large. READ MORE