Essays about: "Text classification"

Showing result 1 - 5 of 185 essays containing the words Text classification.

  1. 1. Data Segmentation Using NLP: Gender and Age

    University essay from Uppsala universitet/Avdelningen för datalogi; Uppsala universitet/Avdelningen för datalogi

    Author : Gustav Demmelmaier; Carl Westerberg; [2021]
    Keywords : Natural language processing; NLP; sentiment analysis; machine learning; demographics; demographic factors; gender; age; ethics;

    Abstract : Natural language processing (NLP) opens the possibilities for a computer to read, decipher, and interpret human languages to eventually use it in ways that enable yet further understanding of the interaction and communication between the human and the computer. When appropriate data is available, NLP makes it possible to determine not only the sentiment information of a text but also information about the author behind an online post. READ MORE

  2. 2. 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. 3. Reducing Unintended bias in Text Classification using Multitask learning.

    University essay from Blekinge Tekniska Högskola; Blekinge Tekniska Högskola

    Author : Venkata Sai Sukesh Settipalli; Naga Manendra Kumar Dasireddy; [2021]
    Keywords : ;

    Abstract : .... READ MORE

  4. 4. Predicting the Movement Direction of OMXS30 Stock Index Using XGBoost and Sentiment Analysis

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Podasca Elena; [2021]
    Keywords : Machine learning; XGBoost; Sentiment analysis; Stock market prediction; OMXS30;

    Abstract : Background. Stock market prediction is an active yet challenging research area. A lot of effort has been put in by both academia and practitioners to produce accurate stock market predictions models, in the attempt to maximize investment objectives. Tree-based ensemble machine learning methods such as XGBoost have proven successful in practice. READ MORE

  5. 5. Interactionwise Semantic Awareness in Visual Relationship Detection

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Pagliarini Giovanni; Imtiaz Azfar; [2020-11-06]
    Keywords : Deep Learning; Natural Language Processing; Computer Vision; Visual Relationship Detection; Object Detection;

    Abstract : Visual Relationship Detection (VRD) is a relatively young research area, where thegoal is to develop prediction models for detecting the relationships between objectsdepicted in an image. A relationship is modeled as a subject-predicate-object triplet,where the predicate (e.g an action, a spatial relation, etc. READ MORE