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almost got in a giant car accident on the 101
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like something wholly original
2
b.s. one another
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Happy Star Wars Day, may the 4th be with you my lil` 12yr old bro is at home playing with a lego AT-AT and dozens of stormtroopers.
2
few new converts
0
far more imaginative and ambitious than the trivial , cash-in features nickelodeon has made from its other animated tv series .
2
has a built-in audience , but only among those who are drying out from spring break
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has a handful of smart jokes
2
is tragically rare in the depiction of young women in film
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at achieving the modest , crowd-pleasing goals it sets for itself
2
the great pity is that those responsible did n't cut their losses -- and ours -- and retitle it the adventures of direct-to-video nash , and send it to its proper home .
0
and guess what ! ive got 20 % ! wow its impossible
0
makes the grade as tawdry trash .
0
rife with nutty cliches and far too much dialogue
0
I ordered this online because no one around town had this and we needed it for a trip coming up for the weekend. Not only did it arrive two days before we left but it was 3$ cheaper to buy online + 2-Day shipping (which got here in 1 day). The mattress is great and our 3 yr old loves it. The mattress protector is just a fleece fitted sheet and nice to have and having the air pump and the carry bag is a life saver as well. Setup and put up is simple and takes a couple of minutes at most. Highly recommend this product for your toddler(s).
2
the wildly popular vin diesel in the equation
2
time to do some revision while listening to albums non-stop all day, again!
1
was only a matter of time before some savvy producer saw the potential success inherent in the mixture of bullock bubble and hugh goo
2
a seriously bad film with seriously warped logic by writer-director kurt wimmer at the screenplay level .
0
a whip-smart sense of narrative bluffs
2
is starting to love twitter!!! Facebook-detox diet is working great
2
Invasion of the Old Ladies has just ended, still have to clean up not going to be able to make it to the tweetup tonight.
1
vulgarity
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that a movie can be as intelligent as this one is in every regard except its storyline
0
mcwilliams 's melancholy music , are charged with metaphor ,
2
Rough start to my day. Taking this one off from DON so as not to spread my bad vibes. Hope you all have a great weekend! I`m outty.
1
the source material movie
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I`m straining to hear but it`s very hard from all the way over here.
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laughing at the ridiculous dialog or the oh-so convenient plot twists
0
I picked up this book happy to read that someone had the courage to tackle the issues of the working poor. Sadly, this book misses and misses dreadfully. Ms. Newman spent years of research and it comes across that she sat in her academic office and never had the guts to go into the neighberhoods she represents in her book. She blames the poor for most of their problems instead of the companies who pay wages that aren't livable. Why didn't she write a book about companies that feel it's ok to pay someone $5.00 and hour and expect them to survive in life. How can we as humans think this is acceptable behavior. If her so called Burger Barn cut some of it's profits and gave it to the workers, just think you'd have happy encouraged workers and billionaires who maybe can't buy a new plane that year.
0
you find yourself rooting for gai 's character to avoid the fate that has befallen every other carmen before her
2
a fiercely clever and subtle film
2
document both sides of this emotional car-wreck
0
a smart , nuanced look at de sade and what might have happened at picpus
2
Your schmoo is moving? Are you sad?
1
TGIF.,..i wish that saying applied to me, but i work Saturdays
2
i hav a chance to win $10, $100, $1000. i was given a free can of $ plant..have to wait till the plant grow to know if i won anythin!!?!
1
thanks for FF wink
2
Just another example of Mr. Lindberg's pitiful attempt at exhibiting a strong expertise on a subject with which he is clearly obsessed. Don't waste your time with this book, either. It is poorly written and fails to engage the reader. You might consider using this book and the first book he wrote on the same subject, as a pair of bookends. That is about all they are worth.
0
the acting is just fine
2
of a valentine sealed with a kiss
2
"Today, Bob Greene is a celebrated, nationally-syndicated columnist. In 1964, he was a seventeen-year-old Ohio high school kid. And he kept a diary."It's all here. The teenage girl who got away..."Snicker, snort.
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's all the stronger because of it
2
coral reef adventure is a heavyweight film that fights a good fight on behalf of the world 's endangered reefs -- and it lets the pictures do the punching
2
feels like a ruse , a tactic to cover up the fact that the picture is constructed around a core of flimsy -- or , worse yet , nonexistent -- ideas .
0
http://twitpic.com/4jfkw - AFC! Oh yess
2
the hallmark of this bittersweet , uncommonly sincere movie that portrays the frank humanity of ... emotional recovery
2
more fascinating -- being real -- than anything seen on jerry springer
2
a satisfying summer blockbuster and
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is TATTEDDDDD!!!!!!!!!!!!!
1
pacino is the best he 's been in years and keener is marvelous .
2
a movie that will thrill you , touch you and make you
2
Thanks Sissy!!!!!!! Be sure to check ur Myspace tonight, It`s gonna be Something! Luv Ya!!!!
2
i have a new favorite musical -- and i 'm not even a fan of the genre
2
by characters so unsympathetic
0
I`m thinking that you, me, , + should have it out over some vin in HK
1
fun-seeking summer audiences
2
does n't do more than expand a tv show to movie length
0
a spark of life to it -- more than you can say for plenty of movies that flow through the hollywood pipeline without a hitch
2
his smooth , shrewd , powerful act
2
taylor 's cartoonish performance and
0
amid the new populist comedies that underscore the importance of family tradition and familial community
2
finally leavin tha studio.Made some really really good music! Very pleased wit tha turnout !
2
schaeffer 's film never settles into the light-footed enchantment the material needs , and the characters ' quirks and foibles never jell into charm .
0
combines two surefire , beloved genres
2
full frontal , which opens today nationwide , could almost be classified as a movie-industry satire , but it lacks the generous inclusiveness that is the genre 's definitive , if disingenuous , feature
0
is thinking today will be a longg day!
1
simply by accident
0
by drawing me into the picture
2
nothing in it to engage children emotionally
0
grows boring despite the scenery .
0
I wish I could work like you, dude...
2
exquisite , unfakable sense
2
I purchased this device just over three months ago. It is already junk, although carefully handled in an adult household. The connector in the base broke when removing my iPod Nano for music additions.
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entertaining itself
2
I had high hopes when sitting down to watch The In Crowd. But they were too high. The plot: Adrien is a young woman whom falls into the wrong group of teens when she gets a job at the local club. The In Crowd is just plain stupid. Very poorly written and acted. I should have listened to the critics.
0
complex , unpredictable character
2
ominous mood and tension
0
exquisitely
2
version of the irresponsible sandlerian manchild , undercut by the voice of the star of road trip
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uncompelling
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interesting than any of the character dramas , which never reach satisfying conclusions
2
the new song with cobra starship is amazing!!
2
nothing but one relentlessly depressing situation after another for its entire running time , something that you could easily be dealing with right now in your lives
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straining to get by on humor that is not even as daring as john ritter 's glory days on three 's company .
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ultimately that 's what makes it worth a recommendation
2
sex with strangers
2
My sister graduated today it was amazing and super emotional. Wow ...
2
aaahh i know!! i was spose to but i had to take my dad to the airport. next weeek fasho!
1
awwww jim jam we`re good at dodging meatballs WOO
2
Bought the Pivot Pro hoping to improve my son's swing. Product is not easy to use, would be nice if there were copy of instructions on how to use on-line. Need to dig a hole in ground each time you use it; then tie foot into place. Also seems like it would break easy. Directions on how to use after you figure out how to set up are not very good either. Save your money! If you are looking for a cheap, good hitting tool for your child check out "the insider bat" at insiderbat.com I bought it for my son, is inexpensive easy to use & fun!Pivot Pro Batter'sTraining Device
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incredibly inane
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if you give a filmmaker an unlimited amount of phony blood
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with incredible subtlety and acumen
2
the most genuinely sweet films
2
make an appealing couple -- he 's understated and sardonic
2
so go back for more
1
there 's a certain robustness to this engaging mix of love and bloodletting .
2
exhausted , desiccated talent
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Enjoy the coffee. We miss you, petite puce (adica Puricel in franceza)
2

Sentiment Analysis Dataset

Overview

This dataset is designed for sentiment analysis tasks, providing labeled examples across three sentiment categories:

  • 0: Negative
  • 1: Neutral
  • 2: Positive

It is suitable for training, validating, and testing text classification models in tasks such as social media sentiment analysis, customer feedback evaluation, and opinion mining.


Dataset Details

Key Features

  • Type: CSV
  • Language: English
  • Labels:
    • 0: Negative
    • 1: Neutral
    • 2: Positive
  • Pre-processing:
    • Duplicates removed
    • Null values removed
    • Cleaned for consistency

Dataset Split

Split Rows
Train 83,989
Validation 10,499
Test 10,499

Format

Each row in the dataset consists of the following columns:

  • text: The input text data (e.g., sentences, comments, or tweets).
  • label: The corresponding sentiment label (0, 1, or 2).

Usage

Installation

Download the dataset from the Hugging Face Hub or your preferred storage location.

Loading the Dataset

Using Pandas

import pandas as pd

# Load the train dataset
train_df = pd.read_csv("path_to_train.csv")
print(train_df.head())

# Columns: text, label

Using Hugging Face's datasets Library

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("your-dataset-path")

# Access splits
train_data = dataset["train"]
validation_data = dataset["validation"]
test_data = dataset["test"]

# Example: Printing a sample
print(train_data[0])

Example Usage

Here’s an example of using the dataset to fine-tune a sentiment analysis model with the Hugging Face Transformers library:

from transformers import AutoTokenizer, AutoModelForSequenceClassification, Trainer, TrainingArguments
from datasets import load_dataset

# Load dataset
dataset = load_dataset("your-dataset-path")

# Load model and tokenizer
model_name = "bert-base-uncased"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=3)

# Tokenize dataset
def tokenize_function(examples):
    return tokenizer(examples["text"], padding="max_length", truncation=True)

tokenized_datasets = dataset.map(tokenize_function, batched=True)

# Prepare training arguments
training_args = TrainingArguments(
    output_dir="./results",
    evaluation_strategy="epoch",
    save_strategy="epoch",
    learning_rate=2e-5,
    per_device_train_batch_size=16,
    num_train_epochs=3,
    weight_decay=0.01,
    load_best_model_at_end=True,
)

# Initialize Trainer
trainer = Trainer(
    model=model,
    args=training_args,
    train_dataset=tokenized_datasets["train"],
    eval_dataset=tokenized_datasets["validation"],
)

# Train model
trainer.train()

Applications

This dataset can be used for:

  1. Social Media Sentiment Analysis: Understand the sentiment of posts or tweets.
  2. Customer Feedback Analysis: Evaluate reviews or feedback.
  3. Product Sentiment Trends: Monitor public sentiment about products or services.

License

This dataset is released under the [Insert Your Chosen License Here]. Ensure proper attribution if used in academic or commercial projects.


Citation

If you use this dataset, please cite it as follows:

@dataset{your_name_2024,
  title        = {Sentiment Analysis Dataset},
  author       = {Syed Khalid Hussain},
  year         = {2024},
  url          = {https://huggingface.co/datasets/syedkhalid076/Sentiment-Analysis}
}

Acknowledgments

This dataset was curated and processed by Syed Khalid Hussain. The author takes care to ensure high-quality data, enabling better model performance and reproducibility.


Author: Syed Khalid Hussain

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