Essays about: "methods of learning new language"

Showing result 36 - 40 of 68 essays containing the words methods of learning new language.

1. 36. Evaluation of Approaches for Representation and Sentiment of Customer Reviews

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

   Author : Stavros Giorgis; [2021]
   Keywords : machine learning; nlp; text analytics; sentiment analysis; transformers; tfidf; bow; fasttext; word2vec; bert; xlnet; roberta; maskininlärning; nlp; textanalys; sentimentanalys; transformatorer; tfidf; bow; fasttext; word2vec; bert; xlnet; roberta;

   Abstract : Classification of sentiment on customer reviews is a real-world application for many companies that offer text analytics and opinion extraction on customer reviews on different domains such as consumer electronics, hotels, restaurants, and car rental agencies. Natural Language Processing’s latest progress has seen the development of many new state-of-the-art approaches for representing the meaning of sentences, phrases, and words in the text using vector space models, so-called embeddings. READ MORE

3. 37. Subsampling Strategies for Bayesian Variable Selection and Model Averaging in GLM and BGNLM

   University essay from Stockholms universitet/Statistiska institutionen

   Author : Jon Lachmann; [2021]
   Keywords : Bayesian model averaging; subsampling; GLM; BGNLM; IRLS; Optimisation;

   Abstract : Bayesian Generalized Nonlinear Models (BGNLM) offer a flexible alternative to GLM while still providing better interpretability than machine learning techniques such as neural networks. In BGNLM, the methods of Bayesian Variable Selection and Model Averaging are applied in an extended GLM setting. READ MORE

4. 38. Data Augmentation in Solving Data Imbalance Problems

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

   Author : Jie Gao; [2020]
   Keywords : Data augmentation; Data imbalance; NLP; Deep learning; Comparison.; Dataförstoring; Data obalans; Textklassificering; Naturlig språkbehandling; Djup lärning.;

   Abstract : This project mainly focuses on the various methods of solving data imbalance problems in the Natural Language Processing (NLP) field. Unbalanced text data is a common problem in many tasks especially the classification task, which leads to the model not being able to predict the minority class well. READ MORE

5. 39. Applying machine learning algorithms to multi-label text classification on GitHub issues

   University essay from Högskolan i Halmstad

   Author : Daniel Artmann; [2020]
   Keywords : ;

   Abstract : This report compares five machine learning algorithms in their ability to categorize code repositories. The focus of expanding software projects tend to shift from developing new software to the maintenance of the projects. Maintainers can label code repositories to organize the project, but this requires manual labor and time. READ MORE

6. 40. A comparative study of the grammatical gender systems of languages by means of analysing word embeddings

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Hartger Veeman; [2020]
   Keywords : word embeddings; grammatical gender; computational linguistics; language representations;

   Abstract : The creation of word embeddings is one of the key breakthroughs in natural language processing. Word embeddings allow for words to be represented semantically, opening the way to many new deep learning methods. READ MORE