[PDF] Top 20 Contrastive Approach towards Text Source Classification based on Top-Bag-of-Word Similarity
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Contrastive Approach towards Text Source Classification based on Top-Bag-of-Word Similarity
... Barzilay and Elhadad (2003) focused on monolingual comparable corpus, i.e. texts in the same language to address the task of sentence alignment. They found that context plays an important role to combine with a sentence ... See full document
7
An LSTM Approach to Short Text Sentiment Classification with Word Embeddings
... Sentiment classification has been used in analyzing user-generated contents for understanding users’ intent and opinions in social ...as bag-of-words model using TF-IDF, and probabilistic model using Naïve ... See full document
10
Using Part-of-Speech Tags as Deep-Syntax Indicators in Determining Short-Text Semantic Similarity
... a bag-of-words approach to measuring the semantic similarity of short texts based on using part-of-speech tags as indicators of the deeper syntactic ...our approach does not require ... See full document
32
An Iterative Similarity based Adaptation Technique for Cross domain Text Classification
... projected source and target do- main data follow similar distributions and hence, a standard supervised learning algorithm can be trained on the former to predict instances from the ...heuristic based ... See full document
10
Text to Text Semantic Similarity for Automatic Short Answer Grading
... the bag-of-words approach to take into account the difference between ”dog bites man” and ”man bites dog” while trying to detect changes in voice (”the man was bitten by a ...pattern-based ... See full document
9
Text Similarity Estimation Based on Word Embeddings and Matrix Norms for Targeted Marketing
... Word2Vec word embeddings were trained on the German Wikipedia (dump originating from 20 February 2017) merged with a Frankfurter Rundschau newspaper Corpus and 34 249 articles of the news journal 20 minutes 2 , ... See full document
10
Map reduce based bag of phrases representation and distributional features incorporation for text classification
... Text classification is the basis step for developing intelligent information systems such as language identification, biography generation, authorship verification, content filtering, search ... See full document
9
Neural Attentive Bag of Entities Model for Text Classification
... sine similarity between the embedding of the tar- get entity and the word-based representation of the document to capture the relevance of an entity given a ... See full document
11
Multiview Point Based Similarity Measure for Text Classification and Clustering
... Sentiment analysis or opinion mining is an application of Text Analytics to identify and extract subjective information in source materials. A basic task in sentiment analysis is classifying an expressed ... See full document
7
Linking picture with text: tagging flood relevant tweets for rapid flood inundation mapping
... both text and pictures urges the trials of linking pictures with texts towards a visual-textual fused ...that classification from texts and pictures allows self-correction of intrinsic errors from a ... See full document
6
Short Text Classification Based on Latent Topic Modeling and Word Embedding
... To overcome the corpus problem, one way is to expand and enrich the context of data using web resources via search engines [7, 8, 9]. They obtain several results through search engines (e.g. Google) and compute ... See full document
7
Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings
... Our approach differs in spirit in the sense that our objective is not to construct surrogate labels so that we can apply a machine learning classifier to our unlabeled ...a similarity metric between ... See full document
9
Let Sense Bags Do Talking: Cross Lingual Word Semantic Similarity for English and Hindi
... CLWS similarity. The main objective is to compute CLWS similarity for set- tings in which one language has many resources and the other is resource ...which approach is better over the ... See full document
5
Semantic Similarity Between Sentences
... Traditional similarity measures are based on the syntactic features and other path based ...semantic similarity approaches like cosine similarity, path based approach (wu ... See full document
6
A kind of intelligent question answering system based on sentence similarity calculation model
... Question classification: the classification problem now mainly includes: according to the question word (most cases use this way); according to the searching answer ...the classification ... See full document
8
Approach for Dimensionality Reduction in Web Page Classification
... Hybrid approach of Rough set and Genetic Algorithm for web page classification is proposed by Xiaoyue Wang, Zhen Hua and Rujiang Bai ...is based on an analogy to biological ...rules. Based on ... See full document
6
Distributional Features for Text Categorization Based on Weight
... on text categorization usually use the appearance or the frequency of appearance to characterize a ...a word in text ...a word and the position of the first appearance of a word are ... See full document
5
Distributional Representations of Words for Short Text Classification
... get word representation, each input word token is transformed into a vector by looking up word em- beddings learned from language model (Zeng et ...in word embedding space are shown to ... See full document
6
STEVENDU2018’s system in VarDial 2018: Discriminating between Dutch and Flemish in Subtitles
... learning based approaches. D20 Random denotes ran- domized word embedding of 20 ...with word vector size of 400 ...dimension word vectors is a good choice for this ... See full document
7
A Classification Approach to Word Prediction
... We present a way that uses external knowledge to generate expressive context representations, along with a learning method capable of handling the large number of features generated this[r] ... See full document
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