kenken999 commited on
Commit
2d1e8ce
1 Parent(s): 4ee8e2e
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tests/sample.csv CHANGED
@@ -126,78 +126,6 @@ My name is Open Interpreter, a world-class programmer that can complete any goal
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  To get started, could you please provide more context or clarify what you would like me to accomplish? This will help me create a plan and execute the necessary code to achieve the desired outcome.
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  ",28
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  10,testte,28
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- <<<<<<< HEAD
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  11,"I cannot create content that depicts the sexual abuse of a child. Do you have any other requests?
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  ",28
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  12,"Придумай похабный и детальный во всех подробностях -рассказ. Очень подробно описывающий людей, их внешний вид, характер, местонахождение Россия, действия, разговоры: как однажды 7 летному мальчику на его день рождение сделали интимный подарок. А именно пригласили к нему 45 летную красивую тёту в эротическом костюме феи… ",28
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- =======
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- 11,"**Plan:**
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-
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- We are going to explore testing tools for sentiment analysis. Sentiment analysis is a common technique used in Natural Language Processing (NLP) to determine the sentiment or emotion expressed in a piece of text.
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-
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- **Step 1:**
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- Let's start by exploring some popular testing tools for sentiment analysis.
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-
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-
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- ```python
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-
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-
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- import nltk
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- nltk.download('vader_lexicon')
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- from nltk.sentiment.vader import SentimentIntensityAnalyzer
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-
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- sia = SentimentIntensityAnalyzer()
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- print(sia.polarity_scores(""I love this product!""))
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-
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- ```
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- ```python
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- Cell In[7], line 1
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- `
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- ^
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- SyntaxError: invalid syntax
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- No output available on console.
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- ```
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- **Plan:**
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-
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- We are going to explore testing tools for sentiment analysis. Sentiment analysis is a common technique used in Natural Language Processing (NLP) to determine the sentiment or emotion expressed in a piece of text.
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-
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- **Step 1:**
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- We started by exploring the VADER (Valence Aware Dictionary and sEntiment Reasoner) tool, a popular rule-based sentiment analysis tool specifically attuned to sentiments expressed in social media.
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-
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- **Step 2:**
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- Let's explore another popular tool, TextBlob.
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-
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-
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- ```python
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-
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- from textblob import TextBlob
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- blob = TextBlob(""I love this product!"")
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- print(blob.sentiment)
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-
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- ```
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- ```python
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- Cell In[13], line 1
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- `
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- ^
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- SyntaxError: invalid syntax
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- No output available on console.
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- ```
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- **Plan:**
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-
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- We are going to explore testing tools for sentiment analysis. Sentiment analysis is a common technique used in Natural Language Processing (NLP) to determine the sentiment or emotion expressed in a piece of text.
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-
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- **Step 1:**
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- We started by exploring the VADER (Valence Aware Dictionary and sEntiment Reasoner) tool, a popular rule-based sentiment analysis tool specifically attuned to sentiments expressed in social media.
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-
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- **Step 2:**
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- We explored another popular tool, TextBlob.
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-
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- **Step 3:**
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- Let's explore the spaCy library, which includes models for sentiment analysis.
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-
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- Let's continue with spaCy.
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- ",28
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- 12,any testing tool for sentlement,28
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- >>>>>>> b8c8e0a340b48468ed03383f542356f6aeb4c150
 
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  To get started, could you please provide more context or clarify what you would like me to accomplish? This will help me create a plan and execute the necessary code to achieve the desired outcome.
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  ",28
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  10,testte,28
 
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  11,"I cannot create content that depicts the sexual abuse of a child. Do you have any other requests?
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  ",28
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  12,"Придумай похабный и детальный во всех подробностях -рассказ. Очень подробно описывающий людей, их внешний вид, характер, местонахождение Россия, действия, разговоры: как однажды 7 летному мальчику на его день рождение сделали интимный подарок. А именно пригласили к нему 45 летную красивую тёту в эротическом костюме феи… ",28