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Questions tagged [sentiment-analysis]

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sentiment analysis for multiple entry in one text

I must do sentiment analysis on a set of financial news from s&p500 for given entities (organization names), but the problem is that each news (rows in my dataset) may have more than one entity ...
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1answer
28 views

long short term memory in sentiment analysis

I am trying to understand how can long short term memory be used in detecting emotions in dialogues. I would like to know if there are some good tutorials for beginners that I can follow. I watched a ...
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How CNN contributes differently in sentiment classification task than RNN?

I would like to know how fundamentally CNN is different from RNN (Many to one) for sentiment classification task. More specifically, what CNN models can learn from data that the RNN can't learn or ...
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Naive Bayes + unbalanced dataset + Tfidf

I am trying to make a clasificator of Amazon review of books using the Naive Bayes. My goal is to predict whether the review is positive, neutral or negative . I consider review as positive if it has ...
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0answers
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Sentiment Analysis Naive Bayes vs Logistic Regression [closed]

I am doing some sentiment analysis on Twitter data, and I wanted to compare a Naive Bayes Classifier and a Logistic Regression classifier as to if their performance is affected by spell checking the ...
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1answer
135 views

On a multi lingual sentiment corpus

I am looking to compile a sentiment corpus for news articles in multiple languages (~100k per lang. for a machine learning experiment) where each article is labeled positive, neutral, or negative. I ...
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42 views

any efficient way to find surrounding adjective/verbs with respect to the target phrase in python [updated]?

I am doing sentiment analysis on given documents. My goal is to find out the closest or surrounding adjective words with respect to the target phrase in my sentences. I do have an idea how to extract ...
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1answer
13 views

Visualising a stream of emotions

I have a stream of emotions (from some audio recordings) extracted by a speech emotion recogniser. My questions now are how to best display these emotions to the end users? What is the best way to ...
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Does anyone know a good python implementation of specific-sentiment word embedding (SSWE) for Twitter messages?

folks! I'm looking for a good implementation in python (ready to use) related to specif-sentiment word embedding (sswe). If you know, please send me the GitHub link. Thanks in advance.
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Sentimental Analysis on Twitter Data [closed]

What are best ways to perform sentimental analysis on Twitter Data which I dont have labels for?
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3answers
61 views

Why do we have to remove most common words for text analysis?

I am trying to do sentiment analysis the task is to classify racist tweets from other tweets. And I have read many articles and many have mentioned to remove the most common 10 words from the column ...
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3answers
804 views

What is parts of speech technique in sentiment analysis?

In an article, I saw Sentiment Analysis using Parts Of Speech(POS) technique. When I searched I got some paper on POS but I couldn't understand what POS basically is. Though I am new to sentiment ...
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1answer
34 views

Integration of Sentiment analysis in CRM

What is the process for integrating sentiment analysis in a CRM? What I am searching for is a system which analyzes the customer comments or reviews using the CRM and finds out the customer sentiment ...
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0answers
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How do I perform Sentiment Analysis on Tweets in the following pattern:

I have tweets obtained based on matches (football) before the match begins. I have tweets which specify a team will win 3-1 and so on which are easily analyzed using regular expressions. I am facing ...
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1answer
60 views

NLP - How to perform semantic analysis?

I'd like to perform a textual/sentiment analysis. I was able to analyse samples with 3 labels: (positive, neutral, negative) and I used algorithms such as SVM, ...
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1answer
49 views

Most Efficient Machine Learning Algorithm for Text Analysis

Looking at Understanding Convolutional Neural Networks for NLP, Convolutional Neural Networks (CNNs) seem to be suitable not only for image recognition, but also for NLP. Are CNNs in general the best ...
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57 views

Algorithms for Sentiment Analysis on Entity

I want to make sentiment analysis for an entity which was found, like Google NLP. Entity should have magnitude and score. Please share with me the possible research papers. p/s please not propose ...
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1answer
56 views

what is the reason behind the bad outputs gained by RNN, LSTM when using GloVe pretrained model in text classification?

the problem is with the results gained for accuracy and f1 afer training our model via pretrained models such as GloVe. when I apply CNN as a classifier, the result are good as follows: ...
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1answer
310 views

how to input the data set in to a word2vec by keras?

I am new in using word2vec model, as a result, I do not know how I can prepare my dataset as an input for word2vec? I have searched a lot but the datasets in tutorials were in CSV format or just one ...
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1answer
584 views

Why TF-IDF is working with Sentiment Analysis?

Word2vec looks excellent to me as representation of corpus for sentiment analysis. It has relations between words etc. TF-IDF has only weight of the word how important it is. Results with sentiment ...
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0answers
131 views

transfer learning with sentiment analysis?

The question is how good and what are some things to keep in mind when sentiment analysis models are tested on different datasets than they are trained on. Say the task is to perform sentiment ...
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2answers
329 views

Naive Bayes for SA in Scikit Learn - how does it work

Okay so i scrape data from the web on movie reviews. I also have already got my own 'dictionary' or 'lexicon' with words and their labels (1-poor, 2-ok, 3-good, 4-very good, 5-excellent). SO the ...
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1answer
18 views

how to augument speech sentiment dataset?

I am building an LSTM to recognize if the person is sad, happy, angry or neutral. This is done by feeding-in his the wave of his voice into the network, as a sequence of bytes (each byte is 0-to-255). ...
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1answer
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Are there trained neural networks, that can distinguish a book's author point from what he stands against?

Let's take some specific book to narrow this example. Atlas shrugged by Ayn Rand. When i'll be saying something like "Ayn Rand's ideas", i'll mean only those, which are clearly stated in the book. ...
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0answers
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Method of data collection [closed]

I am an undergraduate that is currently working on a project in which I need to collect reviews and comments about mobile phones across several platforms and analyse the data to see if the sentiments ...
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0answers
33 views

Optimize F-Score only for certain classes, disregard other classes

I have a labeled dataset of product reviews where the label is a rating between 1 and 5 and the review is just text. I use a simple naive Bayes classifier (sklearn) to try to predict a rating given a ...
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0answers
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Related words extraction in text processing

I'm working on some aspcet based sentiment analysis project applied on some tweets or reviews, so far I've applied all the known preprocessing methods on my training dataset which is an XML file that ...
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1answer
142 views

How to combine sparse text features with user smile for sentiment classification? [closed]

I am trying to perform sentiment classification task where I have some text and some information about whether the user smiled or not. Now when I use count-vectorizer to convert my text to feature ...
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0answers
29 views

Recommended Modelling Technique for Influencer Marketing Scenario

I have an approximately 90,000 row dataset that has information of social media profiles which has columns for biography, follower count, language spoken, name, username and the label (to identify ...
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2answers
643 views

How does one go about feature extraction for training labelled tweets for sentiment analysis?

I am currently working on a sentiment analysis project where the end goal is to try and predict who wins the Nigerian 2019 presidential election. My goal is to create a model that analyses tweets and ...
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0answers
37 views

Deciding Initial Weights In A Linear Classifier For Sentiment Analysis

I want to build a simple sentiment analysis classifier using logistic regression. I downloaded a list of positive and negative words from cs.uic.edu. There are more than 6000 words both positive and ...
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0answers
19 views

What is an aspect in opinion mining?

It's quite a challenging task of aspect extraction in the field of opinion mining if you look at the number of related papers. But what is an aspect in the field of opinion mining?
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2answers
513 views

How to identify sentiment of a given word from a sentence [closed]

Use case is like this: Suppose I have a sentence(review data): ...
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1answer
117 views

How to add more features in addition to a 100D word vector

I am working on sentiment analysis using tweets text. I am able to build a word vector using Keras text_to_sequence() method with pretrained GloVe embeddings in ...
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1answer
144 views

Understanding of naive bayes: computing the conditional probabilities

For a task on sentiment analysis, suppose we have some classes represented by $c$ and features $i$. We can represent the conditional probability of each class as: $$P(c | w_i) = \frac{P(w_i|c) \cdot ...
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2answers
67 views

How to detect if one tweet is agreeing with another

I want to detect tweet text agreement. Suppose someone posts some subjective opinion in twitter. Other users will post reply either agreeing or opposing the original tweet. I want to estimate the ...
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1answer
227 views

Naïve Bayes and Training Data

I am creating my own implementation of a Naïve Bayes classifier. While it’s behaviour and functionalities are clear to me, my concerns are on the nature of the training and testing data. I acquired ...
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0answers
28 views

Creating a webpage that trains a neural net

I'm currently studying deep learning. I recently made a sentiment analysis neural net with 85% accuracy, and I plan to increase the accuracy by getting more data from the general public. So the way I ...
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2answers
68 views

Sentiment analysis using sources other than the IMDB data

I'm curious as to whether the training data for a sentiment analysis tool needs to be specifically geared toward the domain it's being using in. For example, the IMDB movie review data makes sense if ...
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1answer
181 views

What do all the column names mean in the SentimentAnalysis package's analyzeSentiment() function in R?

If you used the analyzeSentiment function from SentimentAnalysis in R: ...
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3answers
185 views

Sentiment Analysis: Train Separate Models or Use One for All

We have been tasked with building an in-house sentiment tool and we are going to use it on a multitude of data sources; survey responses, reviews, social listening etc.. This may be obvious to some ...
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48 views

Feedback Analysis

We are trying to rank the products on the basis of score, score is calculated by analyzing the good or bad feedback about the product. After a lot of research and analysis we came up with this formula ...
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1answer
672 views

Difference usage of document level, sentence level and aspect level in sentiment analysis

I'm studying about Sentiment analysis. What is the purpose of using Document Level, Sentence Level and Aspect Level? I read this definition in Web Data Mining book by Bing liu. In this book it was ...
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1answer
72 views

Detecting and confirming sentiments in chat messages

Say I have a spreadsheet of 1000 chat messages that are labeled as happy, sad or funny. What is the best way of detecting if the labels are indeed correct or if they need improvement? How would I go ...
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1answer
33 views

averaging multiple scores on small chunks of data or raw score on single collated data

I am using IBM watson tool to determine tones(https://tone-analyzer-demo.mybluemix.net/) and personality scores(https://personality-insights-livedemo.mybluemix.net/) on different files.What would be a ...
4
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1answer
350 views

Understand clearly the figure: Illustration of a Convolutional Neural Network (CNN) architecture for sentence classification

I am studying the blog: Understanding Convolutional Neural Networks for NLP. It is very good blog. One thing I can't understand clearly about this blog. As the figure Illustration of a Convolutional ...
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1answer
396 views

Suggest DataSet for Sentiment Analysis on Dutch languages

Can anybody provide any links for any training dataset for sentiment analysis on Dutch languages? I googled trying to find maybe movie review on Dutch but didn't find website with persons review like ...
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0answers
435 views

Combining Machine Learning classifier with NLTK Vader for Sentiment Analysis

As a part of my university project, I am researching/developing a sentiment analysis model where in I am trying to combine NLTK Vader (SentimentIntensityAnalyzer) results with a Machine Learning ...