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Found 9 papers, 1 papers with code
Toward Connecting Speech Acts and Search Actions in Conversational Search Tasks
Then, the speech acts were fed to the model to predict the corresponding system-level search actions.
"Don't Downvote A\$\$\$\$\$\$s!!": An Exploration of Reddit's Advice Communities
Advice forums are a crowdsourced way to reinforce cultural norms and moral behavior.
Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering
In this paper, we have explored how the depth of the neural network influences the accuracy of prediction of deleted questions in question-answering forums.
Determining sentiment in citation text and analyzing its impact on the proposed ranking index
Analysis of these sentiments is one of the popular research areas of present day researchers.
Complexity Metric for Code-Mixed Social Media Text
Also, the index can be applied to a sentence and seamlessly extended to a paragraph or an entire document.
Sentiment Identification in Code-Mixed Social Media Text
While some tasks deal with identifying the presence of sentiment in the text (Subjectivity analysis), other tasks aim at determining the polarity of the text categorizing them as positive, negative and neutral.
Authorship Verification - An Approach based on Random Forest
We have used several word-based and style-based features to identify the dif-ferences between the known and unknown problems of one given set and label the unknown ones accordingly using a Random Forest based classifier.
Labeling of Query Words using Conditional Random Field
Our system demonstrated an overall accuracy of 75. 5% for token level language identification.
