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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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0111 · Jun 201719922001200920172026
6 results for doc2vec

Model predicts price polarity of real estate properties using website information.

problem Predicting price polarity of real estate properties.
method Uses doc2vec and xgboost to learn correlations between price and text descriptions of properties.
result Text descriptions provide slightly higher accuracy than features alone.

Browsing and finding relevant information for Bangladeshi laws is a challenge faced by all law students and researchers in Bangladesh, and by citizens who want to learn about any legal procedure. Some law archives in Bangladesh are digitized, but lack proper tools to organize the data meaningfully. We present a text vi…

2017-11-14abs ↗pdf ↗

Our work proves robustness of embedding schemes to discrete changes in text.

problem Discrete changes in text, like replacing a word, affect model robustness.
method Formal proofs and quantitative bounds for embedding schemes (concatenation, TF-IDF, Paragraph Vector).
result Embedding schemes are robust to discrete changes in text with Hölder or Lipschitz properties.

In this paper we focus our attention on the exploitation of the information contained in financial news to enhance the performance of a classifier of bank distress. Such information should be analyzed and inserted into the predictive model in the most efficient way and this task deals with all the issues related to tex…

2017-06-29abs ↗pdf ↗

Machine learning predicts ECHR judgments on human rights violations.

problem Predicting the outcome of ECHR judgments on human rights violations.
method Auto-sklearn for model selection, N-grams, word embeddings, doc2vec, echr2vec for feature extraction, cross-validation for accuracy assessment.
result Features from echr2vec embedding provided the highest cross-validation accuracy for 5 Articles, overall test accuracy was 68.83%.