• No results found

News articles

Visualizing Trends of Key Roles in News Articles

Visualizing Trends of Key Roles in News Articles

... in news arti- cles. We extract semantic roles and word vectors from news articles to understand the action and vi- sualize the trend of these key ...

6

Comparison of Text Classifiers on News Articles

Comparison of Text Classifiers on News Articles

... The news articles classification was done using Support Vector Machine(SVM) classifier, Naive Bayes classifier, Decision Tree classifier, K-nearest neighbor(kNN) classifier and Rocchio ...

5

Classifying Frames at the Sentence Level in News Articles

Classifying Frames at the Sentence Level in News Articles

... Previous approaches to generic frame clas- sification analyze frames at the document level. Here, we propose a supervised based approach based on deep neural net- works and distributional representations for classifying ...

7

Tweeting News Articles Readership and News Sections in Europe and the Americas

Tweeting News Articles Readership and News Sections in Europe and the Americas

... to news articles from eight of the largest national newspapers in the United States, United Kingdom, Spain, Brazil, and ...to news articles posted by top users to be lower than reported in the ...

20

Readability of Bangla News Articles for Children

Readability of Bangla News Articles for Children

... of news articles targeting ...corresponding news articles into dif- ferent difficulty levels. Children news articles are cognitively and linguistically different than ...

9

Detecting Toxicity in News Articles: Application to Bulgarian

Detecting Toxicity in News Articles: Application to Bulgarian

... a news toxicity detector that can recognize various types of toxic ...Bulgarian news articles that were manu- ally categorized into eight toxicity ...

12

Event Based Emotion Classification for News Articles

Event Based Emotion Classification for News Articles

... Table 3 shows that the size of training dataset does affect performance. However, the difference is mostly on recall. From 3-fold to 10-fold, the in- crease in F-score is only little over 2% when the training data size ...

10

Recognition of Named Event Passages in News Articles

Recognition of Named Event Passages in News Articles

... 50 news articles for each of the 10 named events and we created 5 HITS for each of sequence of 10 sentences from 500 news articles in our ...

8

Categorization of News Articles using Sentiment Analysis

Categorization of News Articles using Sentiment Analysis

... the news articles available at that time. But today News articles may contain new features which might not be taken into consideration while building model last ...available news ...

9

Distribution of Emotional Reactions to News Articles in Twitter

Distribution of Emotional Reactions to News Articles in Twitter

... News articles report information about current ...view, news articles are supposed to lack personal opinions, emotions or anything additional to the reported ...in news, reported facts ...

6

A Parallel Corpus of Arabic Japanese News Articles

A Parallel Corpus of Arabic Japanese News Articles

... We presented a parallel corpus of Arabic–Japanese news articles comprising 8,652 document pairs. Part of the cor- pus is manually aligned at the sentence level for develop- ment and testing. The corpus is ...

7

Generating Synthetic Comparable Questions for News Articles

Generating Synthetic Comparable Questions for News Articles

... any news article due to typical sparseness issues as well as differences in interests between askers in CQA sites and news ...input news article but do not appear in ...

10

An annotated corpus of quoted opinions in news articles

An annotated corpus of quoted opinions in news articles

... In this work we examined the problem of anno- tating opinions in news articles. We proposed to exploit quotes, as they are used by journalists to provide evidence of an opinion, and are easy to extract and ...

5

Good News or Bad News: Using Affect Control Theory to Analyze Readers’ Reaction Towards News Articles

Good News or Bad News: Using Affect Control Theory to Analyze Readers’ Reaction Towards News Articles

... In this paper, we focus on analyzing objective statements. Unlike subjective statements, that con- tain an explicit opinion or belief about an object or aspect (e.g., “Seventh Son is a terrible movie”), ob- jective ...

11

Building Event Threads out of Multiple News Articles

Building Event Threads out of Multiple News Articles

... related news articles into same story clusters in order to reveal the temporal evolution of ...between articles or events except chronologi- cal ...

10

Towards Automatic Fake News Detection: Cross Level Stance Detection in News Articles

Towards Automatic Fake News Detection: Cross Level Stance Detection in News Articles

... and articles as a key characteris- tic of the FNC-1 corpus: on average, an ar- ticle contains more than 30 times the num- ber of words contained in its associated head- ...

10

Cohesion in News Articles: A Discourse Analysis Approach

Cohesion in News Articles: A Discourse Analysis Approach

... newspaper articles from the New Straits ...Both articles project several connections in the field, in the theme and in the method of writing which are reflected in their corresponding ritual of structural ...

5

Aggregating News Articles – NewsInn Algorithm

Aggregating News Articles – NewsInn Algorithm

... aggregate articles from multiple news sources into one general, story-based ...relevant news article in relation to it, and by listing underneath it the remainder of ...

6

“Making the News”: Identifying Noteworthy Events in News Articles

“Making the News”: Identifying Noteworthy Events in News Articles

... good news-peg classifier can prove useful to a summarization ...its news-peg, as it is the most noteworthy among all events in the ...a news- peg as a alternative measure of quality of a summa- ...

7

A Survey on Dynamic News Recommendation System via Social Media using Machine Learning Framework

A Survey on Dynamic News Recommendation System via Social Media using Machine Learning Framework

... missing news category rating values of a user, and a new novelty detection approach to improve ranking of novel news ...of news articles and the user interest as input and then re-rank the ...

5

Show all 10000 documents...

Related subjects