Essays about: "sentence representations"
Showing result 1 - 5 of 23 essays containing the words sentence representations.
-
1. Constructing and representing a knowledge graph(KG) for Positive Energy Districts (PEDs)
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : In recent years, knowledge graphs(KGs) have become essential tools for visualizing concepts and retrieving contextual information. However, constructing KGs for new and specialized domains like Positive Energy Districts (PEDs) presents unique challenges, particularly when dealing with unstructured texts and ambiguous concepts from academic articles. READ MORE
-
2. Text Curation for Clustering of Free-text Survey Responses
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : 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
-
3. Sentiment Analysis for Talent Attraction
University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenAbstract : The reputation of a company on employer review platforms can have a significant impact on its ability to attract talented workers. Companies use sentiment analysis to learn how their employer brand is perceived online. READ MORE
-
4. Text Steganalysis based on Convolutional Neural Networks
University essay from Blekinge Tekniska HögskolaAbstract : The CNN-based steganalysis model is able to capture some complex statistical dependencies and also learn feature representations. The proposed model uses a word embedding layer to map the words into dense vectors thus, achieving more accurate representations of the words. The proposed model extracts both, the syntax and semantic features. READ MORE
-
5. Evaluation of the performance of machine learning techniques for email classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Manual categorization of a mail inbox can often become time-consuming. Therefore many attempts have been made to use machine learning for this task. One essential Natural Language Processing (NLP) task is text classification, which is a big challenge since an NLP engine is not a native speaker of any human language. READ MORE