Is there any tool / R package available to calculate accuracy and precision of a confusion matrix? The formula and data structure are here.

I need to use pipeline in order to get the tokenization and inference from the distilbert-base-uncased-finetuned-sst-2-english model over my dataset. My data is a list of sentences, for recreation ...

I'm trying to get the sentiments for comments with the help of hugging face sentiment analysis pretrained model. It's returning error like Token indices sequence length is longer than the specified...

I'm facing this attribute error and I'm stuck at how to handle float values if they appear in a tweet.The streaming tweet has to be lower cased and tokenized so i have used split function. Can som...

All I want to do is find the sentiment (positive/negative/neutral) of any given string. On researching I came across Stanford NLP. But sadly its in Java. Any ideas on how can I make it work for pyt...

I'm using getoldtweets3 library to scrape corona outbreak information. I get this error - error : C:\Users\Vilius\anaconda3\python.exe C:/Users/Vilius/PycharmProjects/Sentiment-Analysis2/twitter_an...

I am a beginner with pytorch. I am trying to do an aspect based sentiment analysis. I am facing the error mentioned in the subject. My code is as follows: I request help to resolve this error. Than...

I want to analyze sentiment of texts that are written in German. I found a lot of tutorials on how to do this with English, but I found none on how to apply it to different languages. I have an id...

How do I handle/get rid of emoticons so that I can sort tweets for sentiment analysis? Getting: Error in sort.list(y) : invalid input Thanks and this is how the emoticons come out looking fro...

I am trying to start a project of sentiment analysis and I will use the stop words method. I made some research and I found that nltk have stopwords but when I execute the command there is an error...

I am working on sentiment analysis on steam reviews dataset using BERT model where I have 2 labels: positive and negative. I have fine-tuned the model with 2 Linear layers and the code for that is ...

I am newbie to Machine Learning in general. I am currently trying to follow a tutorial on sentiment analysis using BERT and Transformers https://curiousily.com/posts/sentiment-analysis-with-bert-an...

I have some text data for which I need to do sentiment classification. I don't have positive or negative labels on this data (unlabelled). I want to use the Gensim word2vec model for sentiment clas...

I wanted to write a program to fetch tweets from Twitter and then do sentiment analysis. I wrote the following code and got the error even after importing all the necessary libraries. I'm relativel...

I'm doing sentiment analysis from twitter but my tweets are on Spanish so I can't use tidytext to classify the words. Does anyone know if there is a similar package for Spanish?

I use the following to compute the sentiment of 200 short sentences. I did not use a training data set: for sentence in textblob.sentences: print(sentence.sentiment) The analysis returns two val...

I am currently working on a project, a simple sentiment analyzer such that there will be 2 and 3 classes in separate cases. I am using a corpus that is pretty rich in the means of unique words (aro...

Does anyone know how textblob sentiment is working? I know it is working based on Pattern but I could not find any article or document explain how pattern assigns polarity value to a sentence.

while performing sentiment analysis, how can I make the machine understand that I'm referring apple (the iphone), instead of apple (the fruit)? Thanks for the advise !

I'm stuck in sentiment analysis and I found Vader solution which is the best I could find so far. My issue is that I don't find any doc on how to feed it with languages other than English.

I have a django form, which is collecting user response. I also have a tensorflow sentences classification model. What is the best/standard way to put these two together. Details: tensorflow mod...

I'm using the Vader SentimentAnalyzer to obtain the polarity scores. I used the probability scores for positive/negative/neutral before, but I just realized the "compound" score, ranging from -1 (m...

I was wondering if anybody knew where I could obtain dictionaries of positive and negative words. I'm looking into sentiment analysis and this is a crucial part of it.

I am in need of a little help here, I need to identify the negative words like "not good","not bad" and then identify the polarity (negative or positive) of the sentiment. I did everything except h...

I'm writing a Java program and need to analyze small chunks of text (3-4 sentences, news articles paraphrased) for their sentiment. I just need to know whether the article is generally positive, ne...