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50 views

Sentiment Analysis - How should I handle negatively biased word list length?

I'm implementing a simple sentiment analysis algorithm where the authors of the paper have a word list for positive and negative words and simply count the number of occurrences of each in the ...
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1answer
17 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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14 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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0answers
80 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
60 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
92 views

How to prepare a dataset for text classification

I would like to compare some algorithms for performing sentiment classification (Naive Bayes, SVM, and ...
2
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0answers
148 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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0answers
52 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
213 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
53 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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271 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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0answers
30 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
117 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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126 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
2k 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
355 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 ...
6
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0answers
801 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 ...