Review Emotion Analysis Using ML

[pooja8748]

Review emotion analysis involves extracting sentiments or emotions from textual data

Solution: Gather the dataset containing reviews or textual data along with their associated sentiments or emotions (positive, negative, neutral, etc.).

Data Preprocessing, Feature Extraction, Model Training, Model Evaluation, Sentiment/Emotion Prediction, Visualization and Interpretation using ML

I would like correct these under GSSOC'24. Please assign this to me. Thank you!!

[viththagi]

hi @sanjay-kv i would like to work on this issue my steps would be:

1.web scraping using libraries such as beautifulsoup,selenium 2.Understand the Website Structure to inspect the HTML of the comments section. 3.efficiency consideration: Add delays between requests to avoid overloading the website's server. Handle pagination 4.sentiment analysis: using libraries like TextBlob or NLTK.

[pooja8748]

Okay sir.

On Sun, 12 May, 2024, 10:58 pm viththagi, @.***> wrote:

hi @sanjay-kv https://github.com/sanjay-kv i would like to work on this issue my steps would be:

1.web scraping using libraries such as beautifulsoup,selenium 2.Understand the Website Structure to inspect the HTML of the comments section. 3.efficiency consideration: Add delays between requests to avoid overloading the website's server. Handle pagination 4.sentiment analysis: using libraries like TextBlob or NLTK.

— Reply to this email directly, view it on GitHub https://github.com/Recode-Hive/Scrape-ML/issues/31#issuecomment-2106321142, or unsubscribe https://github.com/notifications/unsubscribe-auth/A7FMEQXEENAHO2UW7FC3U2TZB6RE3AVCNFSM6AAAAABHSB3CKWVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCMBWGMZDCMJUGI . You are receiving this because you were assigned.Message ID: @.***>

[Kushagra22Singh]

Good Evening, @sanjay-kv sir.

I'm particularly excited about the sentiment analysis aspect of this project as it aligns perfectly with my skill set.

Brief Overview: My focus will be on sourcing datasets from diverse websites to develop a robust sentiment analysis model capable of accurately predicting emotions in real-world scenarios.

Tech Stack: In addition to standard data preprocessing and machine learning techniques, I aim to leverage advanced Natural Language Processing (NLP) algorithms to enhance prediction accuracy. I also intend to explore cutting-edge machine learning algorithms for optimal performance. For thorough accuracy comparisons, I propose utilizing libraries like TPOT, renowned for their ability to provide an edge over traditional methods.

Visualization: I'm committed to presenting the results in a visually appealing format, ensuring that insights are easily understandable and actionable.

I would greatly appreciate the opportunity to work on this aspect of the project under your guidance. Please consider assigning it to me.

[Rishukumarsingh12]

Hi @sanjay-kv , Since I have worked on these types of projects where we have to scrap the article data from various links which was particularly mentioned in a excel file and performing text analysis using nltk library and creating a separate csv file for the specific ratios which helped to find the organisation where there content is summarised or not , negativity or positivity of their article and many more under a startup company. so I think, I am enough good and experienced to do this task. Please assign me this task.

Thank you.

[Taranpreet10451]

Can you please assign this to me.

[github-actions[bot]]

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