bryanstev91/Tweets-Sentiment-Analysis · Datasets at Hugging Face

ID int64 1 788k	text stringlengths 5 1.39k	negative stringlengths 6 6	neutral stringlengths 6 6	positive stringlengths 6 6	label stringclasses 3 values
11,801	Good. See you later.	0.0069	0.0981	0.8950	positive
11,802	Good. Shall we say seven o'clock?	0.0073	0.2553	0.7374	positive
11,803	Good. So, which is your top choice?	0.0213	0.3598	0.6189	positive
11,804	Good. So I will take three series and five bamboo ones.	0.0099	0.2067	0.7833	positive
11,805	Good. So you will have no trouble finding it.	0.0208	0.1804	0.7988	positive
11,806	Good. Sorry to have troubled you so much, Miss.	0.3002	0.4073	0.2925	neutral
11,807	Good. Thank you for telling me this.	0.0068	0.0373	0.9559	positive
11,808	Good. Thank you very much.	0.0076	0.0242	0.9682	positive
11,809	Good. Thank you.sir.	0.0070	0.0281	0.9649	positive
11,810	Good. Thanks for asking.	0.0089	0.0761	0.9150	positive
11,811	Good. That’s something unusual.	0.0091	0.0699	0.9210	positive
11,812	Good. That will help me know how I am doing.	0.0205	0.3247	0.6548	positive
11,813	Good. That would be very helpful. Can you start with those pages over there?	0.0078	0.1075	0.8847	positive
11,814	Good. The work includes keeping the files. Have you got any practical experience with that?	0.0203	0.3899	0.5897	positive
11,815	Good. There is the information desk. How do we get to seventieth street, please?	0.0223	0.5653	0.4124	neutral
11,816	Good. Tonight 8 o'clock.	0.0053	0.1009	0.8938	positive
11,817	Good. We also have health insurance, bonus and paid vacation. When can you begin to work?	0.0088	0.2111	0.7800	positive
11,818	Good. We can contact the Tiana Office Furniture Store, and ask them to install computers in our company, deliver new tables and other furniture to match the function of the computers, and to improve our work atmosphere simultaneously.	0.0154	0.3031	0.6815	positive
11,819	Good. We can hold more talks later on to iron out the details.	0.0119	0.1995	0.7885	positive
11,820	Good. We should tell our neighbour that they can call the police if some emergency happens to us.	0.0719	0.5915	0.3366	neutral
11,821	Good. We will make the offer tomorrow afternoon. Is that all right?	0.0045	0.2718	0.7237	positive
11,822	Good. We're tired after driving all day, and we're looking forward to relaxing in a comfortable room.	0.0107	0.0867	0.9026	positive
11,823	Good. Well, Mr. White, most of the items listed are available this year. I hope we can come to an agreement and sign the contracts soon to enable timely delivery.	0.0098	0.1459	0.8442	positive
11,824	Good. Well, welcome aboard, Ms, Robbins.	0.0028	0.0272	0.9700	positive
11,825	Good. Where can I get the questionnaire?	0.0116	0.4647	0.5237	positive
11,826	Good. Where shall we meet?	0.0100	0.3248	0.6652	positive
11,827	Good. Why do people name it Olympics?	0.1618	0.4145	0.4237	positive
11,828	Good. You feel better after you do.	0.0225	0.1064	0.8711	positive
11,829	Good. You probably should be much better by tomorrow.	0.0167	0.0739	0.9094	positive
11,830	Good. You scared me.	0.6115	0.2738	0.1147	negative
11,831	Good. You will feel better after you do.	0.0378	0.1395	0.8226	positive
11,832	Good. You'll feel better after you do.	0.0390	0.1500	0.8110	positive
11,833	Good afternoon, ABC Incorporated. How many I direct your call?	0.0056	0.2215	0.7729	positive
11,834	Good afternoon, anything I can do for you?	0.0050	0.1490	0.8459	positive
11,835	Good afternoon, can I help you?	0.0052	0.2022	0.7927	positive
11,836	Good afternoon, CCL press.Jennisse speaking, How can I help you?	0.0071	0.3103	0.6827	positive
11,837	Good afternoon, Chloe, I’m Doctor Evans.What seems to be the problem?	0.0811	0.7294	0.1895	neutral
11,838	Good afternoon, could you connect this call with Mr Brown, please	0.0064	0.6218	0.3717	neutral
11,839	Good afternoon, doctor.	0.0043	0.0421	0.9536	positive
11,840	Good afternoon, everyone. The experiment is to start at 3. Have you gone through the instructions?	0.0027	0.2306	0.7667	positive
11,841	Good afternoon, Felix Wassermann Associates. Lawson speaking, how can I help you?	0.0067	0.4141	0.5793	positive
11,842	Good afternoon, how can I be of service today?	0.0063	0.3356	0.6582	positive
11,843	Good afternoon, how can I help?	0.0053	0.1669	0.8278	positive
11,844	Good afternoon, how can I help you?	0.0062	0.3070	0.6868	positive
11,845	Good afternoon, how may I help you?	0.0063	0.2677	0.7260	positive
11,846	Good afternoon, I want to pick up a new shaver since the old one has retired.	0.0236	0.3568	0.6196	positive
11,847	Good afternoon, I'm looking for Mr. Alert Li.	0.0077	0.4977	0.4946	neutral
11,848	Good afternoon, is there a vacant room here?	0.0123	0.7736	0.2141	neutral
11,849	Good afternoon, is there anything I can do for you?	0.0057	0.2320	0.7622	positive
11,850	Good afternoon, it's nice to see you again. Have you decided to go ahead and try for the Fixed Asset Loan?	0.0021	0.0548	0.9431	positive
11,851	Good afternoon, Johnson.	0.0047	0.0828	0.9125	positive
11,852	Good afternoon, Lexington Software. Angelina Dawson, how can I help?	0.0065	0.2701	0.7235	positive
11,853	Good afternoon, Lincoln Corporate Services. Lina speaking, how may I help?	0.0045	0.1475	0.8480	positive
11,854	Good afternoon, Ma’am, My name is Mike and I am selling subscriptions to all sorts of periodicals.	0.0048	0.4200	0.5752	positive
11,855	Good afternoon, ma'am. Can I help you find anything?	0.0070	0.4406	0.5524	positive
11,856	Good afternoon, ma'am. May I help you?	0.0053	0.2037	0.7909	positive
11,857	Good afternoon, madam. Can I help you?	0.0061	0.3923	0.6016	positive
11,858	Good afternoon, madam. Is there anything I can do for you?	0.0075	0.3873	0.6052	positive
11,859	Good afternoon, madam. May I help you?	0.0067	0.3278	0.6655	positive
11,860	Good afternoon, Mary. How's business?	0.0062	0.1115	0.8823	positive
11,861	Good afternoon, may I help you?	0.0052	0.1756	0.8192	positive
11,862	Good afternoon, miss, can I help you?	0.0057	0.2353	0.7590	positive
11,863	Good afternoon, Miss.	0.0040	0.0339	0.9621	positive
11,864	Good afternoon, Miss. What can I do for you?	0.0035	0.1286	0.8678	positive
11,865	Good afternoon, Miss Li.	0.0032	0.0319	0.9650	positive
11,866	Good afternoon, Miss Qi.	0.0037	0.0308	0.9655	positive
11,867	Good afternoon, Miss Tao. Please sit down.	0.0113	0.3635	0.6252	positive
11,868	Good afternoon, Mr. Anderson.	0.0036	0.0528	0.9437	positive
11,869	Good afternoon, Mr. Black. Haven't seen you for a long time. Can I help you?	0.0504	0.5894	0.3602	neutral
11,870	Good afternoon, Mr. Black. Thank you very much.	0.0028	0.0175	0.9797	positive
11,871	Good afternoon, Mr. Brown. My name is Mrs. Anderson, manager of the sales department.	0.0047	0.4268	0.5685	positive
11,872	Good afternoon, Mr. Dome’s office.	0.0035	0.0803	0.9163	positive
11,873	Good afternoon, Mr. Green.	0.0036	0.0416	0.9548	positive
11,874	Good afternoon, Mr. Yang. I'm Jill, Mr. Smith's secretary. Would you like to look around the factory first?	0.0052	0.7153	0.2795	neutral
11,875	Good afternoon, Mr Meng! It's nice to see you today. It's been a while, hasn't it?	0.0026	0.0136	0.9838	positive
11,876	Good afternoon, Mr Meng. It's a little late for you, isn't it?	0.0176	0.3711	0.6113	positive
11,877	Good afternoon, Mr.Chen. How are you?	0.0045	0.1381	0.8574	positive
11,878	Good afternoon, Mr.Stein. I wonder if you are free tomorrow evening?	0.0034	0.1955	0.8011	positive
11,879	Good afternoon, Mrs. Brown. I've come to see Mr. Brown.	0.0029	0.2162	0.7809	positive
11,880	Good afternoon, Mrs. White.	0.0034	0.0445	0.9521	positive
11,881	Good afternoon, Mrs Smith.	0.0038	0.0413	0.9549	positive
11,882	Good afternoon, Mrs.Vale. Please sit down.	0.0113	0.3317	0.6570	positive
11,883	Good afternoon, Mrs.Vale.Please sit down.	0.0115	0.2950	0.6935	positive
11,884	Good afternoon, need any help?	0.0145	0.3335	0.6520	positive
11,885	Good afternoon, Pan Am. May I help you?	0.0049	0.1727	0.8224	positive
11,886	Good afternoon, passport and arrival card please.	0.0081	0.3329	0.6590	positive
11,887	Good afternoon, Peace Hotel, what can I do for you?	0.0058	0.2766	0.7176	positive
11,888	Good afternoon, Peace restaurant, may I help you?	0.0054	0.1887	0.8059	positive
11,889	Good afternoon, sales department.May I help you?	0.0058	0.1794	0.8149	positive
11,890	Good afternoon, Sam.	0.0044	0.0475	0.9482	positive
11,891	Good afternoon, San Felice Hotel. May I help you?	0.0050	0.2616	0.7333	positive
11,892	Good afternoon, sir, is there anything I can do for you?	0.0059	0.2404	0.7538	positive
11,893	Good afternoon, sir, is there anything I can help you with today?	0.0069	0.2516	0.7416	positive
11,894	Good afternoon, sir.	0.0054	0.0384	0.9563	positive
11,895	Good afternoon, sir. Can I help you?	0.0050	0.1587	0.8362	positive
11,896	Good afternoon, sir. Gan I help you?	0.0063	0.1673	0.8264	positive
11,897	Good afternoon, sir. Have you made a reservation?	0.0051	0.4462	0.5487	positive
11,898	Good afternoon, sir. May I help you?	0.0054	0.1377	0.8569	positive
11,899	Good afternoon, sir. Please sit here.	0.0078	0.2248	0.7674	positive
11,900	Good afternoon, sir. Welcome to our hotel.What kind of room would you like, sir?	0.0027	0.1299	0.8674	positive

11,801

Good. See you later.

0.0069

0.0981

0.8950

positive

11,802

Good. Shall we say seven o'clock?

0.0073

0.2553

0.7374

positive

11,803

Good. So, which is your top choice?

0.0213

0.3598

0.6189

positive

11,804

Good. So I will take three series and five bamboo ones.

0.0099

0.2067

0.7833

positive

11,805

Good. So you will have no trouble finding it.

0.0208

0.1804

0.7988

positive

11,806

Good. Sorry to have troubled you so much, Miss.

0.3002

0.4073

0.2925

neutral

11,807

Good. Thank you for telling me this.

0.0068

0.0373

0.9559

positive

11,808

Good. Thank you very much.

0.0076

0.0242

0.9682

positive

11,809

Good. Thank you.sir.

0.0070

0.0281

0.9649

positive

11,810

Good. Thanks for asking.

0.0089

0.0761

0.9150

positive

11,811

Good. That’s something unusual.

0.0091

0.0699

0.9210

positive

11,812

Good. That will help me know how I am doing.

0.0205

0.3247

0.6548

positive

11,813

Good. That would be very helpful. Can you start with those pages over there?

0.0078

0.1075

0.8847

positive

11,814

Good. The work includes keeping the files. Have you got any practical experience with that?

0.0203

0.3899

0.5897

positive

11,815

Good. There is the information desk. How do we get to seventieth street, please?

0.0223

0.5653

0.4124

neutral

11,816

Good. Tonight 8 o'clock.

0.0053

0.1009

0.8938

positive

11,817

Good. We also have health insurance, bonus and paid vacation. When can you begin to work?

0.0088

0.2111

0.7800

positive

11,818

Good. We can contact the Tiana Office Furniture Store, and ask them to install computers in our company, deliver new tables and other furniture to match the function of the computers, and to improve our work atmosphere simultaneously.

0.0154

0.3031

0.6815

positive

11,819

Good. We can hold more talks later on to iron out the details.

0.0119

0.1995

0.7885

positive

11,820

Good. We should tell our neighbour that they can call the police if some emergency happens to us.

0.0719

0.5915

0.3366

neutral

11,821

Good. We will make the offer tomorrow afternoon. Is that all right?

0.0045

0.2718

0.7237

positive

11,822

Good. We're tired after driving all day, and we're looking forward to relaxing in a comfortable room.

0.0107

0.0867

0.9026

positive

11,823

Good. Well, Mr. White, most of the items listed are available this year. I hope we can come to an agreement and sign the contracts soon to enable timely delivery.

0.0098

0.1459

0.8442

positive

11,824

Good. Well, welcome aboard, Ms, Robbins.

0.0028

0.0272

0.9700

positive

11,825

Good. Where can I get the questionnaire?

0.0116

0.4647

0.5237

positive

11,826

Good. Where shall we meet?

0.0100

0.3248

0.6652

positive

11,827

Good. Why do people name it Olympics?

0.1618

0.4145

0.4237

positive

11,828

Good. You feel better after you do.

0.0225

0.1064

0.8711

positive

11,829

Good. You probably should be much better by tomorrow.

0.0167

0.0739

0.9094

positive

11,830

Good. You scared me.

0.6115

0.2738

0.1147

negative

11,831

Good. You will feel better after you do.

0.0378

0.1395

0.8226

positive

11,832

Good. You'll feel better after you do.

0.0390

0.1500

0.8110

positive

11,833

Good afternoon, ABC Incorporated. How many I direct your call?

0.0056

0.2215

0.7729

positive

11,834

Good afternoon, anything I can do for you?

0.0050

0.1490

0.8459

positive

11,835

Good afternoon, can I help you?

0.0052

0.2022

0.7927

positive

11,836

Good afternoon, CCL press.Jennisse speaking, How can I help you?

0.0071

0.3103

0.6827

positive

11,837

Good afternoon, Chloe, I’m Doctor Evans.What seems to be the problem?

0.0811

0.7294

0.1895

neutral

11,838

Good afternoon, could you connect this call with Mr Brown, please

0.0064

0.6218

0.3717

neutral

11,839

Good afternoon, doctor.

0.0043

0.0421

0.9536

positive

11,840

Good afternoon, everyone. The experiment is to start at 3. Have you gone through the instructions?

0.0027

0.2306

0.7667

positive

11,841

Good afternoon, Felix Wassermann Associates. Lawson speaking, how can I help you?

0.0067

0.4141

0.5793

positive

11,842

Good afternoon, how can I be of service today?

0.0063

0.3356

0.6582

positive

11,843

Good afternoon, how can I help?

0.0053

0.1669

0.8278

positive

11,844

Good afternoon, how can I help you?

0.0062

0.3070

0.6868

positive

11,845

Good afternoon, how may I help you?

0.0063

0.2677

0.7260

positive

11,846

Good afternoon, I want to pick up a new shaver since the old one has retired.

0.0236

0.3568

0.6196

positive

11,847

Good afternoon, I'm looking for Mr. Alert Li.

0.0077

0.4977

0.4946

neutral

11,848

Good afternoon, is there a vacant room here?

0.0123

0.7736

0.2141

neutral

11,849

Good afternoon, is there anything I can do for you?

0.0057

0.2320

0.7622

positive

11,850

Good afternoon, it's nice to see you again. Have you decided to go ahead and try for the Fixed Asset Loan?

0.0021

0.0548

0.9431

positive

11,851

Good afternoon, Johnson.

0.0047

0.0828

0.9125

positive

11,852

Good afternoon, Lexington Software. Angelina Dawson, how can I help?

0.0065

0.2701

0.7235

positive

11,853

Good afternoon, Lincoln Corporate Services. Lina speaking, how may I help?

0.0045

0.1475

0.8480

positive

11,854

Good afternoon, Ma’am, My name is Mike and I am selling subscriptions to all sorts of periodicals.

0.0048

0.4200

0.5752

positive

11,855

Good afternoon, ma'am. Can I help you find anything?

0.0070

0.4406

0.5524

positive

11,856

Good afternoon, ma'am. May I help you?

0.0053

0.2037

0.7909

positive

11,857

Good afternoon, madam. Can I help you?

0.0061

0.3923

0.6016

positive

11,858

Good afternoon, madam. Is there anything I can do for you?

0.0075

0.3873

0.6052

positive

11,859

Good afternoon, madam. May I help you?

0.0067

0.3278

0.6655

positive

11,860

Good afternoon, Mary. How's business?

0.0062

0.1115

0.8823

positive

11,861

Good afternoon, may I help you?

0.0052

0.1756

0.8192

positive

11,862

Good afternoon, miss, can I help you?

0.0057

0.2353

0.7590

positive

11,863

Good afternoon, Miss.

0.0040

0.0339

0.9621

positive

11,864

Good afternoon, Miss. What can I do for you?

0.0035

0.1286

0.8678

positive

11,865

Good afternoon, Miss Li.

0.0032

0.0319

0.9650

positive

11,866

Good afternoon, Miss Qi.

0.0037

0.0308

0.9655

positive

11,867

Good afternoon, Miss Tao. Please sit down.

0.0113

0.3635

0.6252

positive

11,868

Good afternoon, Mr. Anderson.

0.0036

0.0528

0.9437

positive

11,869

Good afternoon, Mr. Black. Haven't seen you for a long time. Can I help you?

0.0504

0.5894

0.3602

neutral

11,870

Good afternoon, Mr. Black. Thank you very much.

0.0028

0.0175

0.9797

positive

11,871

Good afternoon, Mr. Brown. My name is Mrs. Anderson, manager of the sales department.

0.0047

0.4268

0.5685

positive

11,872

Good afternoon, Mr. Dome’s office.

0.0035

0.0803

0.9163

positive

11,873

Good afternoon, Mr. Green.

0.0036

0.0416

0.9548

positive

11,874

Good afternoon, Mr. Yang. I'm Jill, Mr. Smith's secretary. Would you like to look around the factory first?

0.0052

0.7153

0.2795

neutral

11,875

Good afternoon, Mr Meng! It's nice to see you today. It's been a while, hasn't it?

0.0026

0.0136

0.9838

positive

11,876

Good afternoon, Mr Meng. It's a little late for you, isn't it?

0.0176

0.3711

0.6113

positive

11,877

Good afternoon, Mr.Chen. How are you?

0.0045

0.1381

0.8574

positive

11,878

Good afternoon, Mr.Stein. I wonder if you are free tomorrow evening?

0.0034

0.1955

0.8011

positive

11,879

Good afternoon, Mrs. Brown. I've come to see Mr. Brown.

0.0029

0.2162

0.7809

positive

11,880

Good afternoon, Mrs. White.

0.0034

0.0445

0.9521

positive

11,881

Good afternoon, Mrs Smith.

0.0038

0.0413

0.9549

positive

11,882

Good afternoon, Mrs.Vale. Please sit down.

0.0113

0.3317

0.6570

positive

11,883

Good afternoon, Mrs.Vale.Please sit down.

0.0115

0.2950

0.6935

positive

11,884

Good afternoon, need any help?

0.0145

0.3335

0.6520

positive

11,885

Good afternoon, Pan Am. May I help you?

0.0049

0.1727

0.8224

positive

11,886

Good afternoon, passport and arrival card please.

0.0081

0.3329

0.6590

positive

11,887

Good afternoon, Peace Hotel, what can I do for you?

0.0058

0.2766

0.7176

positive

11,888

Good afternoon, Peace restaurant, may I help you?

0.0054

0.1887

0.8059

positive

11,889

Good afternoon, sales department.May I help you?

0.0058

0.1794

0.8149

positive

11,890

Good afternoon, Sam.

0.0044

0.0475

0.9482

positive

11,891

Good afternoon, San Felice Hotel. May I help you?

0.0050

0.2616

0.7333

positive

11,892

Good afternoon, sir, is there anything I can do for you?

0.0059

0.2404

0.7538

positive

11,893

Good afternoon, sir, is there anything I can help you with today?

0.0069

0.2516

0.7416

positive

11,894

Good afternoon, sir.

0.0054

0.0384

0.9563

positive

11,895

Good afternoon, sir. Can I help you?

0.0050

0.1587

0.8362

positive

11,896

Good afternoon, sir. Gan I help you?

0.0063

0.1673

0.8264

positive

11,897

Good afternoon, sir. Have you made a reservation?

0.0051

0.4462

0.5487

positive

11,898

Good afternoon, sir. May I help you?

0.0054

0.1377

0.8569

positive

11,899

Good afternoon, sir. Please sit here.

0.0078

0.2248

0.7674

positive

11,900

Good afternoon, sir. Welcome to our hotel.What kind of room would you like, sir?

0.0027

0.1299

0.8674

positive