Questions tagged [sentiment-analysis]

Sentiment analysis refers to categorizing some given data as to what sentiment(s) it expresses. Usually, it refers to extracting sentiment from a text, e.g. tweets or blog posts.

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How to get fine-grained sentiment score from text data under unsupervised learning?

In my experience I have only used LSTM models to do sentiment classification tasks on text data under supervised learning. For example, the imdb dataset from keras which is a binary classification ...
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22 views

Splitting sentiment analysis training data into x-train and y-train for a RNN?

Suppose I have a dataset of comments from users, around multiple websites, such that in each row, there are two comments, and one is considered more 'negative' and one more 'positive' indicated by the ...
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NLP with what to replace names in sentences?

My task is named entity-sentiment analysis, and I see if I change the name in the sentence then sentiment can change. Are there any methods to avoid this problem? I think to replace these words with ...
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26 views

Get the keywords from positive and negative reviews

I have trained a classifier algorithm on a sentiment analysis model which classifies the reviews scraped off Amazon as Positive or Negative. Now for each class, I want to get the keywords from the ...
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29 views

Clustering text data based on sentiment?

I am scraping reviews off Amazon with the intent to perform sentiment analysis to classify them into positve, negative and neutral. Now the data I would get would be text and unlabeled. My approach to ...
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24 views

Twitter Sentiment Analysis: problem in predicting [closed]

I am going to do Sentiment Analysis over some tweets. The goal is to find out which post is with and which one is against a specific topic(which tweet is saying this product is good and which on is ...
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20 views

How to properly perform sentiment analysis?

How to properly perform sentiment analysis for text with 300-600 words? If I use TextBlob and clean my data and remove stopwords(extended words and comma backslash..etc) do I need to tokenize the ...
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20 views

What is the difference between rule based & feature based methods in sentiment analysis?

if I use TextBlob in Python to get data label 0/1 of texts (postive/negative) and then use logistic regression for training and prediction, is this feature method or rule based method?
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30 views

Softmax in Sentiment analysis

I am going to do Sentiment Analysis over some tweet texts. So, in summary we have three classes: Positive, Neutral, Negative. If I apply Softmax in the last layer, I will have the probability for each ...
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31 views

Classification issues with Binary Sentiment analysis

I am trying to conduct a binary sentiment analysis of Arabic text (i.e. either classifying social media posts into negative/positive). I built a basic dictionary that covers all words included in the ...
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Creating a Sentiment dictionary from scratch

I am analyzing Arabic textual data from a social media forum discussing economic issues such as labor unions. I am using a package that classifies as negative, positive, or neutral. For instance, the ...
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I can't figure out how to improve accuracy for tweet sentiment

I'm doing a beginning attempt at tweet sentiment analysis (positive, neutral, negative). So far I have cleaned the data and used a BoW to get some feeling of the data (>2.5k tweets). I also made ...
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How to Fine Tune a BERT model for sentiment analysis to get the best f1 score

I am building a multi-class sentiment analysis BERT model that's optimized to give the best f1 score. More specifically, I train each epoch by optimizing binary cross entropy per class, taking the ...
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17 views

Overlap between the training and testing set in cross validation settings

Why is it important to evaluate models using a cross-validation setting where the training and test sets have no overlap? I noticed that a violation of this guideline exaggerates the effectiveness of ...
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How to consider the effect of exclamation marks in sentiment analysis

For example in the following two tweets, we can see the first one seems to be more negative than the second one: "You are not required to come here now!!!" "You are not required to ...
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39 views

What effect repetitive data will have on the performance of the model

I understand that my question is very broad and that the correct answer may depend on various things. I want to get an idea in general what we may expect if we have repetitive data in our dataset. ...
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When to do tokenization and does my output need tokenization after stemming?

I am working on sentiment analysis project , where there are various customer reviews. So I am trying to clean those reviews. So first thing i did is removing special characters, white spaces, ...
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48 views

How to improve the result of f1 on imbalanced dataset

I have a dataset in which these are the distribution of the data: Neutral. 15000 Negative 3000 positive 2000 And I am mostly interested to improve the ...
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23 views

How to evaluate an aspect based sentiment analysis model?

I have a model X that takes a review and predict the position of the aspect and the polarity: ...
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24 views

Word count with map reduce

Suppose we use an input file that contains the following lyrics from a famous song: We’re up all night till the sun We’re up all night to get some The input pairs for the Map phase will be the ...
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Video Sentiment Analysis

I am trying to build a video sentiment analysis feature in python which will take a video and provide the sentiments different people are expressing based on facial expressions in the video. Is there ...
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53 views

Is it possible to fine-tune a (Spanish RoBERTa) model for a different task?

I'm doing sentiment analysis of Spanish tweets. After reviewing some of the recent literature, I've seen that there's been a most recent effort to train a RoBERTa model exclusively on Spanish text. It ...
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28 views

How to get sentiment score for a word in a given dataset

I have a sentiment analysis dataset that is labeled in three categories: positive, negative, and neutral. I also have a list of words (mostly nouns), for which I want to calculate the sentiment value, ...
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Which steps are involved in sentiment analysis with Huggingface Transformers?

I want to perform a sentiment analysis of a dataset of (Spanish) tweets about COVID-19 vaccines. I've already scraped the tweets and identified a pretrained model I can use for Spanish. What I don't ...
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18 views

What do we mean as Positive or Negative in Sentiment Analysis?

What do we mean in Sentiment Analysis NLP when it is said a sentence is positive or negative? I think I need to specify this regarding any other parameter. For example "iPhone is good" is a ...
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calculating score for the sentiment

I am working on the sentiment project. I have used the BERT model. Now I need to generate a score for the sentiment of each sentence. I don't have any idea what would be the potential approach to do ...
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Is it possible to train a model for sentiment analysis with data that has been labeled with VADER?

I want to perform sentiment analysis on a selection of tweets regarding vaccination. The tweets I find are either unlabeled or have been labeled using VADER or TextBlob. I am wondering if it makes ...
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Who is supposed to label my sentiment analysis? Linguistics or psychologist?

I'm starting off my undergraduate research on text classification even though I'm still considered new to this topic. I've collected more than 20K data from Twitter. I've been trying to label the data ...
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1answer
36 views

Can I use a pre-trained model for sentiment analysis/text classification of unlabelled data?

I'm planning on working on a project where I'll have a large collection of tweets about coronavirus vaccines. None of the tweets will have a label (e.g. positive, neutral, negative). Therefore I won't ...
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How does Word2Vec actually help with sentimental analysis?

I'm trying read in a whole article, separate the article by sentences, and then words. Then I pass this into the Word2vec Model and the output comes out. However, my goal is to find the positive or ...
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28 views

Choosing a Change Point Detection Algorithm

I am currently working on a dataset that belongs to the restaurant and food delivery domain. After completing sentiment analysis and quantification, I now need to select a Change Point Detection ...
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35 views

Label data set for sentiment analysis

I am a beginner in this field. I have a scrapped review data set. It contains review socre (1 - 10) and review content. I am going to label the reviews according to the review score like below : 0-2 -&...
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42 views

How can the accuracy of the dictionary-based approach be measured and improved?

I recently used TextBlob and the NLTK library to do sentiment analysis. I used both dictionary-based and machine learning-based approaches. It is relatively easy to measure accuracy when we use ...
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How to work with hundreds of CSVs with millions of rows in each?

So I'm doing a project on the COVID-19 Tweets dataset from the IEEE port and I plan to analyse the tweets over the time period from March 2020 till date. The thing is there's more than 300 CSVs for ...
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Google AutoML Sentiment Analysis

I am trying to develop a custom sentiment analysis model on Google AutoML. I have achieved the same, however, I have the following query: Scenario1: I have excluded records from my training data where ...
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27 views

Sentiment Analysis to Predict Stock Movement

I am using news sentiment analysis and machine learning to predict stock market movement. I have two datasets: dataset 1 is historical stock price; dataset 2 is news headlines. After I use VADER to ...
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48 views

How to predict the sentiment of the entities form the tweet?

I have a JSON file (tweets.json) that contains tweets (sentences) along with the name of the author. Objective 1: Get the most frequent entities from the tweets. Objective 2: Find out the sentiment/...
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45 views

Visualization of SeqSelfAttention layer from Keras

Can someone help me to find, explain and visualize the SeqSelfAttention layer from Keras. I found a lot of flowchart that use the figures from the "attention is all you need paper" where ...
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52 views

Sentiment Analysis Using Neural Networks with Python

I'm working on a task for an assignment for school. The course doesn't have a textbook and instead uses the tutorial on DataCamp. I've struggled severely using DataCamp to learn (been through it ...
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7 views

Class wise opinion for multi-label sentiment classification

I'm trying to build a model which separates positive and negative classes and assigns the label. I have a multi-label review dataset for example: No Review Label 1 Phone is good but charger is not ...
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2answers
30 views

Word list as a baseline for measuring a classifier's performance?

I am working on a simple Naive Bayes classifier that categorizes text messages as either "positive" or "negative". I was told that the simplest baseline to measure the classifier's ...
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19 views

speech emotion recongtion cnn or rnn?

I want to build a speech emotion classifier and I labeled my data into 3 emotions {negative, neutral, positive} the speech files I have are different of length, thus my audio features (mfcc,zcr, etc.) ...
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223 views

How to perform tokenization for tweets in xlnet?

X_train has only one column that contains all tweets. ...
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27 views

Semantic analysis score as input to LSTM model for improving stock price prediction accuracy [closed]

I have created a univariate LSTM model that is predicting value of Open Price based on last 5 years opening price of a particular stock. I'm getting a decent accuracy. Now, I want to do sentiment ...
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Why is approximate nearest neighbour with LSH efficient? [closed]

In a brute force nearest neighbour: (consider point in question is 'x', and total number of points is n) calculate distance between x and every other point O(n) Compare all these distances to get the ...
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101 views

How to implement your own word list for sentiment analysis?

I've finished web scraping and cleaning the text i'm interested in and i also have the sentiment word list i want to apply to it. However, i have a few conceptual and implementation problems. my ...
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29 views

Newspaper analysis

I'm currently working on a project, where I analyze newspaper articles about AI with NLP methods. My research question: Does newspaper coverage focus more on the advantages or disadvantages of AI? I ...
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27 views

create a knowledge base for audio sentiment analysis

do you guys have any idea how to create a knowledge base for audio classification of emotions where i am going to use it for the annotation of the data which i am going to feed it to my deep ...
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26 views

LSTM Train accuracy decreases in training time during the epoch

I'm training an LSTM model for sentiment analysis on a text corpus. There's a thing that I believe is not normal because I never have seen it in training my models. At the start of the epoch, the ...

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