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16 views

Fourier Transform in “Syuzhet” package of R

I am performing sentiment analysis on movie scripts using the “Syuzhet” package in R. Below is my sample code: ...
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21 views

Part-of-speech tags as Document Term Matrix

For my thesis I need to apply a part-of-speech tagging for sentiment classification in R. I have a dataset consisting of ~800 sentences which were tagged by the ...
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2answers
51 views

Is there a better approach than counting positive-negative words in sentiment analysis?

I am doing some sentiment analysis on AirBnb public reviews. (Detailed Review Data). http://insideairbnb.com/get-the-data.html So what I have is about 230,000 comments and reviews in the city of ...
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31 views

Using same data twice in a machine-learning model

I am working on a machine learning problem with 37 features to learn from. So the method I plan on using is as follows: 1) I do a sentiment prediction on 17 of these features to output {negative, ...
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85 views

how to improve text classifier's performance? (how to implement Bernoulli's NaiveBayes with e1071 package's default naive bayes?)

beginner here trying to learn text analytics... short version: The package e1071 contains the basic naive bayes. how can i tweek it so that i can implement bernoulli's naivebayes with this? And ...
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26 views

Any additional suggestion to combine weights and probabilities in Naive Bayes to classify tweets

As a side project, I am trying to build a simple Naïve Bayes sentiment analysis model to classify the sentiment of some tweets as either positive or negative. But I am trying to incorporate sentiment ...
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34 views

Recursive Neural Networks without Phrase-Level Labels

I am trying to apply the recursive neural network by Richard Socher in CoreNLP for my own dataset which does not have the phrase-level labels for intermediate nodes in the parse tree. The first option ...
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7 views

Inter-raters reliability for sentiment analysis lexicon

I have a list of words (more than 2000) which were rated by 4 raters for sentiments like anger (scale from 1 to 5). I run an alpha test on SPSS which gives me a coefficient of >8 which shows a good ...
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30 views

How to quantify the relationship between Social Media Sentiment and Monthly Sales time series data

I'm doing a side project at school which is to understand if there are any causal relationship between social sentiment data and sales (either good/neutral/bad comments from facebook or tweeters will ...
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37 views

Sentiment analysis - keep the smilies?

I want to run a sentiment analysis using tweets, and I have a question regarding smilies/emoticon in general. The training dataset/tweet corpus I am using does not have any smilies, however my tweets ...
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185 views

sentiment analysis using convolutional neural networks

I was trying to modify YoonKim's code for sentiment analysis using CNN's. He applies three filters of heights=[3,4,5] and ...
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1answer
107 views

Information gain and mutual information: different or equal?

I'm very confused about the difference between Information gain and mutual information. to make it even more confusing is that I can find both sources defining them as identical and other which ...
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1answer
261 views

How to set the dictionary for text analysis using neural networks

I want to use a neural network to do text analysis. If I use a large dictionary, then it will contain all the words in training and test set, but the size of the dictionary is too large which will ...
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1answer
34 views

Local Sensitivity Analysis

I am tring to have a comprehensive idea about sensitivity analysis. I found numerous papers, books, and serves about global senstivity analysis methods. Coming to the local sensitivtiy Methods, I try ...
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1answer
75 views

Features Vectors to build classifier to detect subjectivity

I am trying to build a classifier to detect subjectivity. I have text files tagged with subjective and objective . I am little lost with the concept of features creation from this data. I have found ...
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0answers
32 views

Accuracy of classification

I'm actually working on a Twitter sentiment analysis project in Python. The chosen classifiers were Linear support vector machines, Max entropy and Naive Bayes. Is it possible that the accuracy of the ...
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1answer
305 views

How to validate sentiment classification and compare different algorithms

I need to compare SVM and NB about sentiment classification by evaluating accuracy, precision and recall measures. I have 1500 manually classified documents, and I would know which is the best way to ...
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0answers
104 views

Maximum Entropy classifier, high precision but low recall

I'm working on a sentiment analysis study of twitter data using the Maximum Entropy classifier. I've gathered dozens of thousands of tweets. To produce features, I used unigram, bigram and dictionary. ...
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2answers
291 views

How to prepare a dataset for text classification

I would like to compare some algorithms for performing sentiment classification (Naive Bayes, SVM, and ...
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1k views

Has the reported state-of-the-art performance of using paragraph vectors for sentiment analysis been replicated?

I was impressed by the results in the ICML 2014 paper "Distributed Representations of Sentences and Documents" by Le and Mikolov. The technique they describe, called "paragraph vectors", learns ...
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143 views

Power Analysis for Text Mining

I have a population of 6 million text files with which I want to perform sentiment analysis (and text analysis more generally). I will need to manually hand code a subset of these texts into positive ...
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1answer
452 views

Analysis of Customer satisfaction surveys

I have customer feedback data about 2-3 products from 100 customers. Number of questions are around 160. I have data in excel format. Header row contains the question and row below contains the ...
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0answers
73 views

NaiveBayesClassifier vs SklearnClassifier

I'm using both nltk NaiveBayesClassifier and SklearnClassifier for classification of sentences. Is there is a way to find which is the best classification. For eg: If i give "You are looking not so ...
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0answers
379 views

Sentimental Analysis using Naive Bayes

I am working on problem solution where I am collecting social feeds from twitter and Facebook for a product X . I am labeling these posts,comments or tweets using five labels ...
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33 views

How do I get sentiment from a certain “perspective” or point-of-view?

Consider the following text The verdict is out, the jury has held MS guilty of infringements and levied penalties aggregating to $1.50Bn. It will be a massive blow to the reputation of MS. The ...
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1answer
173 views

Sentiment Analysis with respect to subject

I'm familiar with the bag of words/Naive bayes sentiment analysis for text (e.g. http://streamhacker.com/2010/05/10/text-classification-sentiment-analysis-naive-bayes-classifier/) I was curious to ...
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162 views

Using sentiment lexicons or all words processing for sentiment analysis?

I am learning sentiment analysis to apply it to twitter real time data to predict user's mood. I ponder about using which alternative way to do that data mining job. Use all words to process and ...
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2answers
3k views

Supervised approaches vs. topic models in sentiment analysis

I am researching Sentiment Analysis over social media, particularly classifying online texts such as blog posts as positive, negative or neutral. Most of the approaches I have found for sentiment ...
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2answers
469 views

Understanding and applying sentiment analysis

I was just having been assigned a project of conducting sentiment analysis for some document collections. By Googling, a lot of sentiment-related research has popped up. My questions are: What are ...
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1k views

Maximum entropy classifier and sentiment analysis

I am doing a project work in sentiment analysis (on Twitter data) using machine learning approach. In order to find the 'best' way to this I have experimented with naive Bayesian and maximum entropy ...