Questions tagged [sentiment-analysis]

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Sentiment Analysis - Emoticon

I am working on an NLP project, my objective is to compute a Sentiment Analysis over short text message. So far, I did not come up with a solution to account the emoticons. I want to use a machine ...
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1answer
1k views

Use of shuffled dataset for training and validating lstm recurrent neural network models

I am trying to build a recurrent neural net model using lstm trying to predict future outputs from a financial time series. Outputs are classified in macro classes according to the magnitude of ...
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How can I classify my text by using unsupervised approaches?

I have a corpus of newspaper articles and would like to classify them according to content (words, phrases) that I determine beforehand. The only way to do this that I found so far is by looking at ...
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366 views

Why does RNN overfit for sentiment analysis but not for spam detection?

I used this code which uses RNNs for spam detection and got reasonable results. But when I use the same code for sentiment analysis, the model overfits badly: its training accuracy keep growing, but ...
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26 views

Aggregate previously classified items taking into account precision&recall

I have a set of messages classified in k categories using sentiment analysis. I have also the precision, recall and accuracy of the classification technique for each category. Now I would like to ...
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27 views

adding frequency of features give better results

I have a binary feature that i want to use it with textual features i.e. one grams. I use logistic regression and TF/IDF for representing text. So i simply add a unique feature, say ss or oo, to text ...
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680 views

How to improve twitter LSTM NN sentiment analysis

I am trying to build an LSTM neural network to do sentiment analysis on twitter feeds. The dataset I use contains ~1.5M twitter feeds with either positive or negative sentiment (the tweets were ranked ...
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2answers
550 views

Sentiment analysis resources

I need to do a complete presentation about sentiment analysis with its definition, methods, applications and so on. I would be delighted if you could tell me some resource: links, books, videos, etc....
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1answer
2k views

Sentiment Analysis Dictionaries - positive, negative, neutral

I would like to classify user comments in reply to articles on news portals, especially in my country. Many comments are tweet-like in length but others can be quite long (a few hundred words). I ...
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1answer
149 views

sentiment analysis with ranking scale?

I have a Customer feedback about quality of service of a bank. I have data Excel format : header row contains the question ans, the row below contains the response of the Customer. The responses can ...
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1answer
593 views

How can these filters be found for such a convolutional neural network?

In the paper UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification, as the name suggests, a CNN architecture for sentiment classification is being introduced: I am ...
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1answer
578 views

Sentiment Analysis- Airbnb [closed]

Are there specific packages in R to do sentiment analysis? I have public reviews of airbnb Seattle here (http://insideairbnb.com/get-the-data.html) and I am intersted in seeing the positive, negative ...
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118 views

Machine learning basic learning question

I have been studying machine learning on my own, from online videos and tutorials and by referring books from the library. I am finding it very difficult to understand the concepts. I am not speaking ...
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1answer
186 views

Sentiment analysis for a data

I have a dataframe in which every row is a text in which I would like to implement sentiment analysis with positive or negative results. I made the appropriate cleaning to the text removing the ...
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29 views

A sample of event attendees take both a pre and post event sentiment survey, how do I compare answers with population?

I am measuring the net change in opinion after an event. For example, if this is the question "This university is a leader in academic research" then the available answers are "1) Completely disagree, ...
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972 views

Effect of stop words in sentiment analysis

I'm using Naive Bayes algorithm to classify movie reviews (positive and negative). I tried to eliminate stop words (by a stop words list) before running the algorithm then I realized it led to a worse ...
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1answer
2k views

Word Vectors in Word2Vec

I am trying to do sentiment analysis. In order to convert the words to word vectors I am using word2vec model from gensim package. Suppose I have all the sentences in a list named 'sentences' and I am ...
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2answers
1k views

Word vectors as input in Keras

I have a corpus on which I want to perform sentiment analysis using LSTM and word embeddings. I have converted the words in the documents to word vectors using word2vec. My question is how to input ...
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2answers
1k views

Financial Slang and NLP for Sentiment Analysis

I am working on Sentiment-Analysis/Opinion-Mining of Tweets, focused on Finance related tweets. One of the biggest issues I am facing is the unability of my algorithm to detect equivalent entities (...
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1answer
254 views

Classification: training sets different sizes

I'm building a classifier for text analysis sentiment. I have a large training set for positive, neutral and negative mentions. Should the training data sets be similar in size? Currently my ...
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370 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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2answers
873 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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240 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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1k 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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76 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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2answers
5k 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
100 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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71 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
2k 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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343 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
1k 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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1answer
4k 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
34 views

How to approach a bag-of-words classification when each word has a 'loudness' parameter?

Suppose that I want to perform a binary classification on voice data, classifying sentences as having a positive/neutral or negative sentiment.The language I'm working with only has 50 words total and ...
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0answers
515 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
2k 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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124 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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502 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
43 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
707 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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2answers
7k 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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1answer
108 views

Real utility of small accuracy improvements in sentiment classifiers

I have lately been reading papers regarding Sentiment Analysis, where most researches report that their improvements made them achieve an increase of 1~2%, or even 0.5% in accuracy compared to ...
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2answers
753 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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2k 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 ...

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